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All Journal Prosiding SNATIKA Vol 01 (2011) AKSIOMA: Jurnal Program Studi Pendidikan Matematika The Asian Journal of Technology Management (AJTM) Jurnal Kajian Pembelajaran Matematika JOIV : International Journal on Informatics Visualization JMPM: Jurnal Matematika dan Pendidikan Matematika INOVISH JOURNAL BAREKENG: Jurnal Ilmu Matematika dan Terapan METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Buletin Ilmiah Sarjana Teknik Elektro Jurnal Consulenza : Jurnal Bimbingan Konseling dan Psikologi Jurnal Pengabdian Masyarakat Asia International Journal of Progressive Mathematics Education Jikom: Jurnal Informatika dan Komputer Jurnal Informatika: Jurnal Pengembangan IT Jurnal ilmiah teknologi informasi Asia
Lilis Widayanti
Institut Teknologi Dan Bisnis Asia Malang
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Implementasi Metode SCRUM dalam Perancangan Produk Backlog Sistem Cerita Desa Lia Farokhah; Fadhli Almu'iini Ahda; Lilis Widayanti; Vivi Aida Fitria
Jurnal Informatika: Jurnal Pengembangan IT Vol 5, No 1 (2020): JPIT, Januari 2020
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v5i1.1658

Abstract

Abstract  The village is the smallest part of governance. Data from the Central Statistics Agency in 2018, villages have poverty greater than cities. The village has various weaknesses and strengths such as economics, psychology, engineering, skills, capital, successful application of hydroponic agriculture and others. On the other hand, collages have mandatory programs for the entire academic such as society dedication, research and internship programs for students. In the business sector, there are companies that are required to carry out CSR (Corporate social responsibility) to follow regulations in Indonesia. The problem of all actors is the inaccurate target of the distribution of aid in their soft skills and hard skills to bring their contribution to village development. Documentation and classification of problems and strengths in the village need to be mapped. Both of these relationships will be mutually beneficial subjects and objects in a development cycle. This study will examine the importance of the backlog product of the system model that will be developed using the SCRUM method. The results of the level of importance and priority of the backlog product will be used in system development and have an influence in determining the next stage of the Scrum method namely sprint planning meeting, sprint execution and scrum analysis. The results of the college backlog priority analysis are facilities 1,3,4,5,8,2 and 6. On the other hand, the priority order of backlog products for villages / communities is facility 1, 4,2,3,6,7,9, and 8 while Facility 5 is a very undesirable only 36%. The conclusions of the synchronization of two stakeholders based on their respective needs are facility 1, which is about the community's need for assistance from tertiary institutions and the needs of objects by tertiary institutions. Abstrak - Desa merupakan bagian terkecil dalam tata kelola pemerintahan. Data Badan Pusat Statistik tahun 2018, desa memiliki tingkat kemiskinan lebih besar dari kota. Desa memiliki berbagai kekurangan dan kelebihan seperti masalah, perekonomian, psikologi, bidang teknik, skill, permodalan, keberhasilan penerapan pertanian hidroponik dan yang lainnya. Disisi lain, perguruan tinggi memiliki banyak program wajib untuk seluruh civitas akademika dosen seperti pengabdian, penelitian dan program magang atau kuliah kerja nyata (KKN) bagi mahasiswa. Pada bidang bisnis, ada perusahan yang wajib melakukan CSR (Corporate social responsibility) sesuai aturan yang diberlakukan di Indonesia. Permasalahan ketiga aktor tersebut adalah kurang tepatnya sasaran penyaluran bantuan dalam softskill maupun hardskill yang mereka miliki untuk membawa kontribusinya bagi pembangunan desa. Dokumentasi dan klasifikasi permasalahan serta kelebihan yang ada di desa perlu dipetakan. Kedua hubungan ini akan menjadi subjek dan objek yang saling menguntungkan dalam sebuah siklus pembangunan.  Penelitian ini akan menguji tingkat kepentingan produk backlog dari model sistem yang akan dikembangkan menggunakan metode SCRUM. Hasil dari tingkat kepentingan dan prioritas produk backlog akan dipakai dalam pengembangan sistem dan memiliki pengaruh dalam menentukan tahap metode scrum berikutnya yaitu sprint planning  meeting, eksekusi sprint dan analisis scrum. Hasil analisis prioritas backlog perguruan tinggi adalah fasilitas 1,3,4,5,8,2 dan 6. Disisi lain, urutan prioritas produk backlog untuk desa/masyarakat adalah fasilitas 1, 4,2,3,6,7,9, dan 8 sedangkan Fasilitas 5 menjadi fasilitas yang sangat tidak diinginkan karena hanya 36 %. Adapun simpulan singkronisasi dua stakeholder berdasarkan kebutuhan masing-masing adalah adalah fasilitas 1 yaitu tentang kebutuhan masyarakat akan bantuan dari perguruan tinggi dan kebutuhan objek oleh perguruan tinggi. Kata Kunci - Teknologi, Desa, Permasalahan, Solusi, Singkronisasi
Enhancing Accuracy in Stock Price Prediction: The Power of Optimization Algorithms Vivi Aida Fitria; Lilis Widayanti
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 23 No 2 (2024)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i2.3785

Abstract

The purpose of this research was to improve the accuracy of stock price prediction by implementing optimization algorithms on forecasting methods, in this case, the exponential smoothing method. This research implemented the Particle Swarm Optimization (PSO) and Bat Algorithm metaheuristic optimization algorithms to determine the single-exponential smoothing method’s smoothing parameters. Before implementing the optimization algorithm, the way to determine the smoothing parameters was by trial-and-error method, which is considered less effective. Therefore, the novelty of this research is tuning the parameters of the exponential smoothing method using a comparison of two metaheuristic algorithms, namely the particle swarm optimization algorithm compared to the bat algorithm. The Single Exponential Smoothing method with PSO and Bat algorithms was proven to improve accuracy. The alpha parameter found by the PSO algorithm is 0.9346, and the bat algorithm is 0.936465. With a MAPE of 1.0311%, it was better than the MAPE generated in the Single Exponential smoothing method by trial and error of 1.0316%. This research contributes to providing insight that in a highly sensitive stock prediction situation, metaheuristic algorithms can be used to create more accurate and efficient prediction results.
The Use of SEO in Efforts to Increase Instagram Visitors at UD Bima Baru Adriani Kala'lembang; Widya Adhariyanty Rahayu; Lilis Widayanti; Vivi Aida Fitria; Suastika Yulia Riska
Jurnal Pengabdian Masyarakat Vol 4 No 2 (2023): Jurnal Pengabdian Masyarakat
Publisher : Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jpm.v4i2.1901

Abstract

Purpose: This research addresses increasing online sales competition and the use of SEO techniques, focusing on UD Bima Baru's Instagram. Method: This study employs a mixed-method research approach. The research design involves a combination of qualitative and quantitative elements to comprehensively investigate the impact of SEO techniques on online sales via Instagram. Data collection encompasses surveys, website traffic analytics, and content analysis of the Instagram account. Statistical analysis and content coding are utilized to derive meaningful insights from the collected data. Practical Applications: Our findings offer practical advantages, enhancing online visibility, engagement, and sales benefiting businesses across industries. Conclusion: This research highlights SEO's effectiveness in boosting visitor traffic and sales, offering actionable insights for thriving in the digital marketplace.
NFT Investments Analysis: A Strategic Approach with Ranking Insights and Sales Forecasting System for Informed Decision-Making Fitria, Vivi Aida; Afandi, Arif Nur; Aripriharta, Aripriharta; Widayanti, Lilis; Sulistyo, Danang Arbian
The Asian Journal of Technology Management (AJTM) Vol. 16 No. 2 (2023)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2023.16.2.2

Abstract

Abstract. The non-fungible token (NFT) is a unique token used to represent digital assets such as art, music, videos, and other collections. NFT has gained significant attention from the business and industry sectors in recent years. This study reports an increase in the number of active NFT users from 77,000 to 222,000 in early 2021. Investment in NFT has advantages and disadvantages, and one of the challenges faced by investors is that they may not have enough knowledge about investing risks and may find it difficult to recognize and evaluate potential dangers. To address this problem, this study proposes a system that provides information on NFT collection sales rankings and volume sales forecasts. The simple additive weighting (SAW) method is used to determine the NFT collection rankings, and exponential smoothing is used to forecast sales volume. The Particle Swarm Optimization (PSO) method is applied to optimize the parameter alpha of the Exponential Smoothing method. With an accuracy rate of 80.38%, the combination of using the Single Exponential Smoothing method with PSO optimization can provide good predictions for future NFT sales. The proposed system aims to provide investors with accurate information to make informed decisions when investing in NFT. Keywords:  Forecasting system, pso, ranking system, saw, single exponential smoothing
Efektifitas Pemanfaatan E-Learning Berbasis Website Terhadap Hasil Belajar Mahasiswa STMIK Asia Malang Pada Mata Kuliah Fisika Dasar Mufidatul Islamiyah; Lilis Widayanti
Jurnal Ilmiah Teknologi Informasi Asia Vol 10 No 1 (2016): Volume 10 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

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

Abstract

Pemanfaatan teknologi informasi dalam pembelajaran E-Learning yang berada pada sekolah tinggi menejemen dan ilmu Komputer (STMIK) dilakukan untuk meningkatkan pembelajaran mahasiswa dalam pemahaman materi pembelajaran. Metode penelitian yang digunakan pada penelitian ini adalah Randomized control group postes design, dimana pada penelitian membagi subjek menjadi dua kelompok. Hasil belajar siswa yang diperoleh melalui postes menunjukkan bahwa selisih postes dari kelompok control dan eksperimen berbeda secara signifikan. Hal ini ditunjukkan dari hasil uji t yang diperoleh bahwa t hitung = 3,516 < t tabel = 1,725 yang berarti H0 ditolak. Dengan penolakan H0 ini berarti bahwa hasil belajar siswa pada pokok bahasan rangkaian listrik menggunakan pembelajaran yang memanfaatkan e-learning tidak lebih baik dibandingkan dengan yang menggunakan metode konvensional.
Metaheuristic Optimization in Dynamic Unit Commitment of Power Systems: Current Trends and Future Prospects Widayanti, Lilis; Afandi, Arif Nur; Herwanto, Heru Wahyu; Fitria, Vivi Aida
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.2423

Abstract

This paper discusses various optimization algorithms, a mathematics and computer science method essential to solving challenging real-world problems. The presented real-world scenario centers on a power system with dynamic unit commitment. Power systems involve many variables and constraints that can be changed. Metaheuristic optimization can be an effective method for finding an excellent solution to a problem. Dynamic unit commitment optimization is a critical aspect of power system operation. Dynamic unit commitment discusses determining the operating schedule of generating units and how much their production capacity is at each specific time interval to minimize production costs. This research aims to investigate the current trends and future challenges in applying metaheuristic optimization algorithms to power system problems, using the PRISMA approach to conduct a systematic literature review (SLR). This research starts by formulating research questions: what metaheuristic methods can be employed to tackle dynamic unit commitment challenges in power systems, and how effective are these methods in optimization? We established specific criteria for including and excluding studies, such as choosing articles published in English and concentrating on unit commitment in power systems. Out of the 487 papers discovered from the abstracts, only 14 were chosen for review after an extensive screening process based on complete studies that specifically addressed dynamic unit commitment. The conducted analysis provided insights into the accuracy and efficiency levels attained when using metaheuristic algorithms to solve the dynamic unit commitment problem. The research underscores the pivotal role of metaheuristic optimization in modern energy and power systems, highlighting its significance in tackling diverse challenges associated with enhancing the efficiency and effectiveness of power system utilization. Using metaheuristics in academic research has significantly improved scientific publications, resulting in an average annual increase of 43% in citations. This research's real contribution to the academic field is to provide an alternative reference for approximately 66 ASEAN universities with power system engineering majors. 
Pembelajaran Kooperatif Tipe Jigsaw sebagai Upaya Pendidikan Karakter Pada Matakuliah Operation Research Widayanti, Lilis; Hakim, Lukman
JMPM: Jurnal Matematika dan Pendidikan Matematika Vol 2 No 1: Maret
Publisher : Prodi Pendidikan Matematika Universitas Pesantren Tinggi Darul Ulum Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/jmpm.v2i1.892

Abstract

Penelitian yang dilakukan bermaksud untuk mengetahui proses penerapan model pembelajaran kooperatif tipe jigsaw untuk mengembangkan karakter dan meningkatkan hasil belajar mahasiswa pada mata kuliah operation research. Jenis penelitian ini merupakan penelitian tindakan kelas yang dilaksanakan pada 19 mahasiswa kelas operation research. Langkah-langkah penelitian mengacu pada penelitian tindakan Kemmis dan Taggart yaitu (1) identifikasi masalah, (2) perencanaan, (3) pelaksanaan, (4) observasi, dan (5) refleksi. Pengumpulan data dilakukan menggunakan wawancara, lembar penilaian karakter mahasiswa, dan tes operation research. Langkah-langkah pembelajaran yang dilakukan sesuai dengan sintaks model kooperatif tipe jigsaw. Sedangkan karakter yang direkam dalam proses pembelajaran meliputi karakter mampu bekerjasama, tanggung jawab, dan kejujuran. Dari hasil tes materi metode transportasi dan penugasan terdapat peningkatan hasil belajar dari siklus I ke siklus II.
Struktur Kemampuan Siswa dalam Menyelesaikan Masalah Matematika Berdasarkan Taksonomi SOLO Widayanti, Lilis
International Journal of Progressive Mathematics Education Vol. 4 No. 2 (2024)
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/ijopme.v4i2.18655

Abstract

This study aims to implement the Structure of Observed Learning Outcomes (SOLO) Taxonomy to describe the structure of students' mathematical problem-solving abilities and to explain their thinking processes regarding the problem of the System of Linear Equations with Two Variables ( SLETV). A framework to examine the structure of students' mathematical problem solving skills is essential, because their understanding of basic mathematical ideas is useful in everyday life. This research methodology uses descriptive qualitative applied to eighth grade students at SMPN 5 Malang. To determine the structure of students' skills, we collected information through interviews and responses from problem solving tests. The findings revealed that students' competencies were broken down into unistructural, multistructural, and relational levels, without students reaching a complex prestructural or abstract level.  This study innovatively presents visualizations of students' problem-solving frameworks, grounded in Chick's (1998) theory. The results of the study indicate that most students are at the multistructural level, namely, they can recognize relevant information but have not achieved the ability to integrate concepts comprehensively. This study provides guidance for educators to analyze students' abilities in solving mathematical problems using an effective evaluation tool, namely using the SOLO taxonomy.   Penelitian ini bertujuan untuk mengimplementasikan Taksonomi Structure of Observed Learning Outcomes (SOLO) untuk mendeskripsikan struktur kemampuan pemecahan masalah matematika siswa dan menjelaskan proses berpikir mereka terkait masalah Sistem Persamaan Linear Dua Variabel (SLETV). Kerangka kerja untuk mengkaji struktur keterampilan pemecahan masalah matematika siswa sangat penting, karena pemahaman mereka terhadap ide-ide matematika dasar berguna dalam kehidupan sehari-hari. Metodologi penelitian ini menggunakan deskriptif kualitatif yang diterapkan pada siswa kelas delapan di SMPN 5 Malang. Untuk mengetahui struktur keterampilan siswa, kami mengumpulkan informasi melalui wawancara dan tanggapan dari tes pemecahan masalah. Temuan penelitian mengungkapkan bahwa kompetensi siswa dipecah menjadi tingkat unistruktural, multistruktural, dan relasional, tanpa siswa mencapai tingkat prastruktural atau abstrak yang kompleks. Penelitian ini secara inovatif menyajikan visualisasi kerangka kerja pemecahan masalah siswa, yang didasarkan pada teori Chick (1998). Hasil penelitian menunjukkan bahwa sebagian besar siswa berada pada tingkat multistruktural, yaitu mereka dapat mengenali informasi yang relevan tetapi belum mencapai kemampuan untuk mengintegrasikan konsep secara komprehensif. Penelitian ini memberikan panduan bagi para pendidik untuk menganalisis kemampuan siswa dalam memecahkan masalah matematika menggunakan alat evaluasi yang efektif, yaitu menggunakan taksonomi SOLO.
Implementasi fuzzy analytical hierarchy process pada perangkingan pencapaian belajar siswa Widayanti, Lilis
Jurnal Ilmiah Teknologi Informasi Asia Vol 19 No 1 (2025): Volume 19 nomor 1 2025 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v19i1.1112

Abstract

One of the important components in determining the right learning strategy is the assessment of student learning achievement. At SMK PGRI 3 Sidoarjo, assessments are not only carried out on academic aspects, but also pay attention to social, spiritual, skills, knowledge, and attendance aspects. However, the assessments carried out still use a system using direct weighting. The ranking system using direct weights has a weakness of subjectivity in the weights based on the assessor's intuition so that the results are less objective. Fuzzy Analytical Hierarchy Process (AHP) can increase objectivity in conducting rankings because the weights become more proportional. This study aims to implement Fuzzy AHP for assessing student learning achievement at SMK PGRI 3 Sidoarjo. This study contributes to the literature on the application of the Fuzzy AHP approach in student ranking and may serve as a foundation for the advancement of increasingly complex decision support systems in academia. The variables involved in Fuzzy AHP for student ranking are social attitude, spiritual attitude, skills, knowledge, and attendance. The final results of the study indicated that the fuzzy AHP based student ranking system produced a match of 45%, with a mismatch rate of 55% compared to the direct weighting system. This indicates that the Fuzzy AHP method is indeed different from the direct weighting system in terms of objectivity. The difference in results is due to the approach in determining the weight of different criteria.
Enhancing Accuracy in Stock Price Prediction: The Power of Optimization Algorithms Vivi Aida Fitria; Lilis Widayanti
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 2 (2024)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i2.3785

Abstract

The purpose of this research was to improve the accuracy of stock price prediction by implementing optimization algorithms on forecasting methods, in this case, the exponential smoothing method. This research implemented the Particle Swarm Optimization (PSO) and Bat Algorithm metaheuristic optimization algorithms to determine the single-exponential smoothing method’s smoothing parameters. Before implementing the optimization algorithm, the way to determine the smoothing parameters was by trial-and-error method, which is considered less effective. Therefore, the novelty of this research is tuning the parameters of the exponential smoothing method using a comparison of two metaheuristic algorithms, namely the particle swarm optimization algorithm compared to the bat algorithm. The Single Exponential Smoothing method with PSO and Bat algorithms was proven to improve accuracy. The alpha parameter found by the PSO algorithm is 0.9346, and the bat algorithm is 0.936465. With a MAPE of 1.0311%, it was better than the MAPE generated in the Single Exponential smoothing method by trial and error of 1.0316%. This research contributes to providing insight that in a highly sensitive stock prediction situation, metaheuristic algorithms can be used to create more accurate and efficient prediction results.
Co-Authors A.N. Afandi Abdul Hadi Achlul Nizar Adriani Kala'lembang Adriani Kala’lembang Adriani Kala’lembang Ahmad Husain Abiyyu Aripriharta - Fadhli Almu’iini Ahda Farokhah, Lia Fitria, Vivi Aida Hasanah, Mitahatul Heru Wahyu Herwanto Kala'lembang, Adriani Lukman Hakim Mufidatul Islamiyah Puji Subekti Santoso, Risa Suastika Yulia Riska Sulistyo, Danang Arbian Sundafa, Aldo Vivi Aida Fitria Widya Adhariyanty Rahayu Yudistira Arya Sapoetra