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All Journal Jurnal Ilmiah FIFO Network Engineering Research Operation [NERO] International Journal of New Media Technology Journal of Business and Applied Management Jurnal Teknologi Informasi dan Terapan (J-TIT) JURNAL TEKNIK Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Algoritma, Logika dan Komputasi J-Intech (Journal of Information and Technology) Formosa Journal of Multidisciplinary Research (FJMR) Media Abdimas Jurnal Satya Informatika Jurnal Karya untuk Masyarakat (JKuM)
Destriana Widyaningrum
Universitas Bunda Mulia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Cost Estimation for Software Development Using Function Point Analysis Method Lumba, Ester; Widyaningrum, Destriana; Waworuntu, Alexander
IJNMT (International Journal of New Media Technology) Vol 11 No 2 (2024): Vol 11 No 2 (2024): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v11i2.4006

Abstract

Software development requires substantial financial resources. This study aims to examine the cost estimation for software development. The complexity of the software, its intangibility as a non-physical product, the technology utilized, and human resources can all influence the determination of software development costs. The method used for cost estimation is Function Point Analysis with a case study approach. The researchers conducted a case study on the software development for an employee savings and loan cooperative at XYZ Company. The result of this study is a cost recommendation that can serve as a reference for selecting software development vendors by the cooperative's management.
Perancangan User Experience Aplikasi Website Computer Assisted Test (CAT) Menggunakan Five Planes Framework Widyaningrum, Destriana
J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i1.888

Abstract

Examinations in the school are still carried out conventionally, in a written method using a computer answer sheet. The development of a Computer Assisted Test (CAT) application website to replace the current exam implementation process is a problem for users who are not proficient in using computers. Users must understand new features and go through a long process of exam preparation stages. This research aims to design user experience, for the appearance of the Computer Assisted Test (CAT) application website, using the five planes framework. This method has elements that are done in stages from the lowest level to the top, starting from the strategy plane, scope plane, structure plane, skeleton plane, and surface plane. The result of this research is a user interface design prototype to be implemented on the CAT application website at a later time. The selection of the Five Planes framework with systematic stages is appropriate for designing user experience, starting from identifying the analysis of stakeholders business needs and objectives, directing the planning of a structured system function flow to create a website menu, to designing interfaces with attention to usability and aesthetics that are guided by design guidelines in selecting and displaying each visual element.
Cost Estimation for Software Development Using Function Point Analysis Method Lumba, Ester; Widyaningrum, Destriana; Waworuntu, Alexander
IJNMT (International Journal of New Media Technology) Vol 11 No 2 (2024): Vol 11 No 2 (2024): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v11i2.4006

Abstract

Software development requires substantial financial resources. This study aims to examine the cost estimation for software development. The complexity of the software, its intangibility as a non-physical product, the technology utilized, and human resources can all influence the determination of software development costs. The method used for cost estimation is Function Point Analysis with a case study approach. The researchers conducted a case study on the software development for an employee savings and loan cooperative at XYZ Company. The result of this study is a cost recommendation that can serve as a reference for selecting software development vendors by the cooperative's management.
Sentimen Analisis Mengenai Polusi Udara Menggunakan Algoritma Support Vector Machine dan Random Forest Hakim, Lukman; Dalimunthe, Muhammad Variansjah; Danuputri, Chyquitha; Widyaningrum, Destriana
Jurnal Ilmiah FIFO Vol 15, No 2 (2023)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2023.v15i2.001

Abstract

Air pollution is the contamination of indoor or outdoor environments with chemical, physical, or biological substances that change the natural properties of the atmosphere. Domestic incinerators, cars, motorbikes, combustion products from factory processing, waste burning, and forest fires are common sources of air pollution. In Indonesia, there is no doubt that air pollution occurs because of the many forest fires in Indonesia. As a result of this case, many people's opinions differ. Various sentiments occur in cyberspace, one of which is Twitter. Twitter is the social media that accommodates the most various kinds of positive, negative and neutral opinions. Therefore, researchers want to solve the problem by implementing the SVM and Random Forest algorithms. The dataset was obtained from scrapping results using tweet harvest. The data obtained was 5545 tweets. By dividing the dataset model by 80% and 20%, the results showed that the accuracy of the SVM algorithm was better than the Random Forest algorithm. The accuracy of the SVM algorithm is 83% while the Random Forest algorithm is 81%.
KLASIFIKASI PELANGGAN PADA CUSTOMER CHURN PREDICTION MODELS MENGGUNAKAN DECISION TREE Sinata, Frans; Thenata, Angelina Pramana; Wijaya, Agustinus Fritz; Suryantara, I Gusti Ngurah; Ginting, Jusia Amanda; Widyaningrum, Destriana; Lumba, Ester
Jurnal Algoritma, Logika dan Komputasi Vol 8, No 2 (2025)
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/j-alu.v8i2.8812

Abstract

Persaingan yang semakin ketat dalam dunia perdagangan modern menuntut perusahaan untuk menerapkan strategi retensi pelanggan yang proaktif, menjadikan prediksi customer churn (pelanggan yang berhenti menggunakan layanan) sebagai fokus utama. Penelitian ini bertujuan untuk mengembangkan dan mengevaluasi model klasifikasi yang memanfaatkan data pelanggan historis guna mengidentifikasi secara dini pelanggan yang berpotensi churn atau tetap loyal. Metode yang digunakan adalah Data Mining, khususnya teknik Klasifikasi, dengan memilih algoritma Decision Tree C4.5 karena keunggulannya dalam menghasilkan aturan keputusan yang transparan dan mudah diinterpretasikan. Dataset yang dianalisis melibatkan 996 sampel pelanggan, mencakup berbagai atribut penting seperti jenis kelamin, usia, metode pembayaran, dan riwayat transaksi. Klasifikasi dilakukan untuk memprediksi status pelanggan ke dalam salah satu dari dua kategori target: loyal atau churn. Hasil pengujian menunjukkan bahwa model yang dibangun mampu mengklasifikasikan 636 pelanggan (sekitar 63.8%) sebagai kategori loyal dan 360 pelanggan (sekitar 36.2%) sebagai kategori churn, dengan mencapai tingkat akurasi model sebesar 98%. Temuan ini menunjukkan efektivitas Decision Tree C4.5 dalam memetakan pola loyalitas pelanggan. Secara praktis, model ini berkontribusi dalam menyediakan wawasan yang terukur bagi perusahaan untuk merumuskan inisiatif pemasaran dan retensi yang lebih tepat sasaran.
Co-Authors Chiquitha Danuputri Chyquitha Danuputri Dalimunthe, Muhammad Variansjah Danuputri, Chyquitha Deny Setiawan Wijaya Ester Lumba Ginting, Jusia Amanda Hakim, Lukman Herlina Herlina, Herlina Lukman Hakim Lumba, Ester Maya Cendana, Maya Sinata, Frans Suryantara, I Gusti Ngurah Teady Matius Surya Mulyana, Teady Matius Thenata, Angelina Pramana Waworuntu, Alexander Wijaya, Agustinus Fritz