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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Linguistik Komputasional Journal of Electrical Engineering and Computer (JEECOM) The International Journal of Studies in Social Sciences and Humanities (IJOSSH)
Lukman Hakim
Politeknik Negeri Jember
Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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Evaluasi Kombinasi Hipernin dan Sinonim untuk Klasifikasi Kebutuhan Non-Functional Berbasis ISO/IEC 25010 Lukman Hakim; Siti Rochimah; Chastine Fatichah
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 6 No 5: Oktober 2019
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2870.836 KB) | DOI: 10.25126/jtiik.2019651422

Abstract

Kebutuhan non-fungsional dianggap mampu mendukung keberhasilan pengembangan perangkat lunak. Namun, kebutuhan non-fungsional sering diabaikan selama proses pengembangan perangkat lunak. Hal ini dikarenakan kebutuhan non-fungsional sering tercampur dengan kebutuhan fungsional. Disamping itu, standar kualitas yang beragam menyebabkan kebingungan dalam menentukan aspek kualitas. Pendekataan yang ada menggunakan ISO/IEC 9126 sebagai referensi untuk mengukur aspek kualitas. ISO/IEC 9126 merupakan standar lama yang dirilis pada tahun 2001. Peneliti sebelumnya mengungkapkan ambiguitas dalam enam sub-atribut pada struktur hirarkis ISO/IEC 9126. Hal ini menimbulkan keraguan serius tentang validitas standar secara keseluruhan. Oleh karena itu, standar kualitas yang digunakan sebagai referensi untuk mengukur aspek kualitas pada penelitian ini adalah ISO/IEC 25010. Selain itu, penelitian ini juga mengusulkan suatu sistem untuk mengidentifikasi aspek kualitas kebutuhan non-fungsional dengan menggunakan 1 level hipernim dan 20 sinonim yang disebut skenario 1. Skenario ini akan dibandingkan dengan 2 level hipernim dan 9 sinonim pada masing-masing sinonim yang disebut skenario 2. Kedua skenario tersebut akan menghasilkan dua data latih berbeda. Kedua data latih tersebut akan dibandingkan menggunakan dua model pengujian yaitu berdasarkan ground truth pakar dan sistem dengan menggunakan metode klasifikasi KNN dan SVM. Hasil pengujian menunjukkan skenario 1 terbukti memberikan nilai lebih baik dibandingkan skenario 2 pada kedua model pengujian, dimana nilai precision dari ground truth pakar, KNN, dan SVM masing-masing 49.3%, 81.0%, dan 74.6%.Abstract Non-Functional requirements are considered capable of supporting the success of software development. However, non-functional requirements are often ignored during the software development process. This is because the quality aspects of non-functional requirements are often mixed with functional requirements. in addition, the number of diverse quality standards causes confusion in determining quality aspects. The existing approach uses ISO / IEC 9126 as a reference to measure quality aspects. ISO / IEC 9126 is an old standard released in 2001. Previous researchers revealed ambiguity in six sub-attributes on the hierarchical structure of ISO / IEC 9126. This raises serious doubts about the validity of the overall standard. Therefore, the quality standard used as a reference to measure the quality aspects of this study is ISO / IEC 25010. In addition, this study also proposes a system to identify aspects of the quality of non-functional requirements using 1 hypernym level and 20 synonyms called scenario 1. This scenario will be compared with 2 hypernym levels and 9 synonyms in each synonym called scenario 2. Both scenarios will produce two different training data. The two training data will be compared using two testing models ie based on expert ground truth and systems using the KNN and SVM classification methods. The test results showed scenario 1 is proven to provide a better value than scenario 2 in both testing models, where the precision values of expert ground truth, KNN, and SVM  respectively 49.3%, 81.0%, and 74.6%.
Peringkasan Otomatis Multi Dokumen menggunakan Hirarki Kluster Lukman Hakim; Fadli Husein Wattiheluw; Agus Zainal Arifin; Aminul Wahib
Jurnal Linguistik Komputasional Vol 1 No 2 (2018): Vol. 1, No. 2
Publisher : Indonesia Association of Computational Linguistics (INACL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jlk.v1i2.86

Abstract

Multi-document summarization is a technique for getting information. The information consists of several lines of sentences that aim to describe the contents of the entire document relevantly. Several algorithms with various criteria have been carried out. In general, these criteria are the preprocessing, cluster, and representative sentence selection to produce summaries that have high relevance. In some conditions, the cluster stage is one of the important stages to produce summarization. Existing research cannot determine the number of clusters to be formed. Therefore, we propose clustering techniques using cluster hierarchy. This technique measures the similarity between sentences using cosine similarity. These sentences are clustered based on their similarity values. Clusters that have the highest level of similarity with other clusters will be merged into one cluster. This merger process will continue until one cluster remains. Experimental results on the 2004 Document Understanding Document (DUC) dataset and using two scenarios that use 132, 135, 137 and 140 clusters resulting in fluctuating values. The smaller the number of clusters does not guarantee an increase in the value of ROUGE-1. The method proposed using the same number of clusters has a lower ROUGE-1 value than the previous method. This is because in cluster 140 the similarity values ​​in each cluster experienced a decrease in similarity values.
Pengaruh Latihan Sepeda Virtual Terhadap Sensori-Motor Ekstremitas Bawah Pasien Pasca Stroke I Putu Dody Lesmana; Dia Bitari Mei Yuana; Nanik Anita Mukhlisoh; Beni Widiawan; Lukman Hakim; Arinda Lironika Suryana
Journal of Electrical Engineering and Computer (JEECOM) Vol 5, No 2 (2023)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v5i2.6911

Abstract

Defisit neurologis yang sering didapati pasca stroke adalah penurunan fungsi sensorik dan motorik. Terapi rehabilitasi yang tepat akan memberikan pemulihan sensori motor yang optimal. Fisioterapi menggunakan modalitas latihan motorik berupa latihan sepeda virtual merupakan salah satu pilihan program rehabilitasi. Jenis latihan ini dapat memperbaiki fungsi keseimbangan dan koordinasi ekstrimitas bawah. Tujuan penelitian ini untuk mengetahui pengaruh latihan sepeda berbasis Virtual Reality Augmented Cycling (VRAC) terhadap respon sensorimotor pasien pasca stroke kronis.Rancangan penelitian adalah quasi experimental dengan post test only control group design. Subyek penelitian sebanyak 15 orang terbagi dalam dua kelompok yaitu 8 orang pasien pasca stroke dan 7 orang kontrol sehat, diambil secara purposive sampling dan telah memenuhi kriteria inklusi. Semua subyek mengikuti program latihan sepeda virtual 2 kali dalam seminggu selama 3 bulan di Poli Rehabilitasi Medik RSD Kalisat Jember. Respon sensorimotor diukur dari kecepatan kayuhan (RPM) dengan tiga lintasan. Data dideskripsikan dalam bentuk mean±SD dan dianalisis uji independent T-Test menggunakan SPSS V.22.0.Rata-rata kecepatan kayuhan pasien pasca stroke meningkat tiap minggu selama latihan. Terdapat perbedaan kayuhan pedal pada lintasan lebar, lintasan lebar berpenghalang dan lintasan sempit yang signifikan antara pasien pasca stroke dengan kontrol (p<0,001).Simpulan: Latihan sepeda virtual dapat memperbaiki sensorimotor pasien pasca stroke kronis.
Enhancing MSME marketing through creative digital content development in Bondowoso, Indonesia Dhony Manggala Putra; Lukman Hakim; Nanik Anita Mukhlisoh; Suparto Suparto; Faisal Lutfi Afriansyah; Rizky Kurniawan Efendi; Marsheila Karisa Putri; Ariel Henry Avriza; Rinfani Dwi Fitriani
International Journal of Studies in Social Sciences and Humanities (IJOSSH) Vol. 1 No. 3 (2025): March
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijossh.v1i3.5657

Abstract

This study addresses the challenges faced by four food-based Micro, Small, and Medium Enterprises (MSMEs) in Bondowoso, Indonesia—namely Ila Snack Bondowoso, Rien’s Kitchen, Tahu Sutrisno, and Kripik Ayu—in developing effective digital marketing content. Limited digital skills and resources hinder their ability to promote their products and reach broader audiences. To address this, the research employed the ADDIE model (Analysis, Design, Development, Implementation, Evaluation) to create high-quality promotional videos tailored to the needs of these MSMEs. These videos, featuring company profiles and product highlights, were crafted using professional-grade tools and enhanced with voiceovers to meet industry standards. The videos adhered to the AIDA (Attention, Interest, Desire, Action) model, ensuring effective audience engagement and action-driven messaging. Expert validation and field testing confirmed their effectiveness, while consumer feedback indicated a positive impact on purchasing decisions. This research highlights the potential of creative digital content to empower MSMEs, enhance product visibility, and strengthen market competitiveness. The findings provide a replicable framework for supporting small enterprises globally, underscoring the critical role of digital innovation in driving inclusive economic growth and cultural preservation.
Co-Authors Agus Zainal Arifin Aminul Wahib Ariel Henry Avriza Arinda Lironika Suryana Beni Widiawan, Beni Chastine Fatichah Dhony Manggala Putra Dia Bitari Mei Yuana Fadli Husein Wattiheluw Faisal Lutfi Afriansyah I Putu Dody Lesmana Marsheila Karisa Putri Nanik Anita Mukhlisoh Rinfani Dwi Fitriani Rizky Kurniawan Efendi Siti Rochimah Suparto Suparto