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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Syntax Literate: Jurnal Ilmiah Indonesia Indonesian Journal of Artificial Intelligence and Data Mining IJIS - Indonesian Journal On Information System Jurnal Teknologi Sistem Informasi dan Aplikasi Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JOURNAL OF SCIENCE AND SOCIAL RESEARCH Journal of Environmental Science and Sustainable Development Jurnal Teknologi Informatika dan Komputer Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) International Journal of Engineering, Science and Information Technology Jurnal Mandiri IT International Journal of Informatics, Economics, Management and Science Journal of Engineering, Technology and Computing (JETCom) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Jurnal Ilmiah Ilmu Komputer dan Teknologi Informasi (JIKOMTI)
Yasin, Verdi
Stmik Jayakarta
Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Social Sciences Transportation Other

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Journal : JOURNAL OF SCIENCE AND SOCIAL RESEARCH

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PERANCANGAN APLIKASI PREDIKSI PENJUALAN KASUR DENGAN REGRESI LINEAR Rahmawati, Nia; Yasin, Verdi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5854

Abstract

Abstract: In the retail and manufacturing industries, intense competition requires companies to make swift and precise decisions to maintain or increase profitability. Accurate sales forecasting is a fundamental key to the sustainability and growth of mattress retail businesses. Rising sales volumes also impact warehouse stock requirements; however, difficulties in identifying customer demand trends can lead to potential stockouts, where specific products requested by customers cannot be fulfilled. This increase in customer demand and sales volume must be balanced with effective inventory management strategies to ensure all customer requirements are met. Consequently, this research utilizes Data Mining to predict sales patterns and customer demand through a Simple Linear Regression approach to address these challenges. Sales predictions are analyzed using the Simple Linear Regression algorithm, while the Root Mean Squared Error (RMSE) is employed to measure forecasting error. Based on the testing results, the RMSE value for product Kasur 90X200 was found to be 2.5295. The implementation of this Data Mining application is expected to provide valuable insights for business owners to optimize warehouse inventory levels, thereby supporting enhanced product marketing and sales strategies. Keywords: Data mining, Linear Regression, Sales, Forecasting, Stock Abstrak: Dalam industri ritel dan manufaktur, tingkat persaingan yang ketat menuntut perusahaan untuk mengambil keputusan yang cepat dan tepat untuk mempertahankan atau meningkatkan keuntungan. Prediksi penjualan yang akurat menjadi kunci utama bagi keberlangsungan dan pertumbuhan toko kasur. Peningkatan penjualan juga berimpact pada tuntutan akan ketersediaan stock di gudang, dimana hal ini berpengaruh pada sulit untuk menentukan trend permintaan pelanggan, sehingga potensi beberapa produk yang diminta oleh pelanggan tidak dapat dipenuhi. Meningkatnya permintaan pelanggan dan volume penjualan tersebut harus diimbangi dengan strategi penyediaan barang di gudang agar setiap permintaan pelanggan dapat terpenuhi. Atas dasar hal itu maka perlu kiranya dilakukan penelitian dengan memanfaatkan Data Mining untuk dapat memprediksi pola penjualan dan permintaan pelanggan dengan pendekatan Regresi Linear sederhana sehingga didapatkan solusi atas permasalahan yang terjadi tersebut. Prediksi penjualan diteliti dengan menggunakan algoritma regresi linear sederhana dan nilai error yang digunakan untuk mengukur kesalahan peramalan yaitu Root Mean Squared Error (RMSE). Berdasarkan hasil pengujian nilai RMSE untuk produk Kasur 90X200 sebesar 2,5295. Hasil implementasi dari aplikasi Data Mining ini diharapkan dapat menjadi masukan bagi pemilik usaha untuk meningkatkan ketersediaan barang di gudang sehingga peningkatan pemasaran produk dan strategi penjualan dapat tercapai. Kata kunci: Data Mining, Regresi Linear, Penjualan, Prediksi, Stok
EVALUASI KEPATUHAN AKSESIBILITAS WEB BERDASARKAN WEB CONTENT ACCESSIBILITY GUIDELINES (WCAG) 2.2 LEVEL AA: ANALISIS METODOLOGI GABUNGAN PADA SITUS WEB E-GOVERNMENT BPKP PUSAT Rachmawati, Lupita Chyntia; Yasin, Verdi; Sianipar, Anton Zulkarnain
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5775

Abstract

Abstract: Web accessibility is a crucial aspect in fulfilling the right to information for all levels of society, including people with disabilities. The Financial and Development Supervisory Agency (BPKP) website, as a national strategic information portal, is responsible for providing inclusive digital services. This study aims to evaluate the level of accessibility compliance of the BPKP website based on the Web Content Accessibility Guidelines (WCAG) 2.2 Level AA standard. The research methodology adopts the WCAG-EM 1.0 framework integrated with the Accessibility Compliance Score (ACCS) model. Testing was conducted in a hybrid manner through automated audits using Axe DevTools and Google Lighthouse, as well as manual verification against the latest WCAG 2.2 criteria, namely Focus Not Obscured and Target Size. The evaluation was applied to five main pages of the BPKP website. The results showed that the BPKP website obtained an ACS score of 87.14% with a predicate of "Very Good". However, an accumulated failure weight of 328 points was still found. The largest failure was identified on the Contact & Location page, mainly due to third-party map elements that had color contrast issues and the absence of title attributes. Furthermore, consistent violations of the Target Size criteria indicate that the website is not fully optimized for touchscreen users and individuals with motor disabilities. This study recommends improvements to critical elements to sustainably enhance the inclusiveness of BPKP's digital services. Keywords: Web Accessibility, BPKP, WCAG 2.2, S-KA, Axe DevTools, Digital Inclusivity. Abstrak: Aksesibilitas web merupakan aspek krusial dalam pemenuhan hak atas informasi bagi seluruh lapisan masyarakat, termasuk penyandang disabilitas. Website Badan Pengawasan Keuangan dan Pembangunan (BPKP) sebagai portal informasi strategis nasional memiliki tanggung jawab untuk menyediakan layanan digital yang inklusif. Penelitian ini bertujuan mengevaluasi tingkat kepatuhan aksesibilitas website BPKP berdasarkan standar Web Content Accessibility Guidelines (WCAG) 2.2 Level AA. Metodologi penelitian mengadopsi kerangka kerja WCAG-EM 1.0 yang diintegrasikan dengan model Skor Kepatuhan Aksesibilitas (S-KA). Pengujian dilakukan secara hibrida melalui audit otomatis menggunakan Axe DevTools dan Google Lighthouse, serta verifikasi manual terhadap kriteria terbaru WCAG 2.2, yaitu Focus Not Obscured dan Target Size. Evaluasi diterapkan pada lima halaman utama website BPKP. Hasil penelitian menunjukkan bahwa website BPKP memperoleh nilai S-KA sebesar 87,14% dengan predikat “Sangat Baik”. Namun, masih ditemukan akumulasi bobot kegagalan sebesar 328 poin. Kegagalan terbesar teridentifikasi pada halaman Kontak & Lokasi, terutama akibat elemen peta pihak ketiga yang memiliki masalah kontras warna dan ketiadaan atribut title. Selain itu, pelanggaran konsisten pada kriteria Target Size mengindikasikan bahwa website belum sepenuhnya optimal bagi pengguna layar sentuh dan individu dengan keterbatasan motorik. Penelitian ini merekomendasikan perbaikan elemen kritis untuk meningkatkan inklusivitas layanan digital BPKP secara berkelanjutan. Kata kunci: Aksesibilitas Web, BPKP, WCAG 2.2, S-KA, Axe DevTools, Inklusivitas Digital.
Co-Authors Adrian Adrian Agus Sulistiyanto, Agus Anastasia Lidya Maukar Angali, Fransiska Warkop Anik Vega Vitianingsih Anik Vega Vitianingsih Anton Zulkarnain Sianipar Ardha, Mhd. Zoel Ariefka, Reza Belly, Desidarius Eduardo Djee Budiman, Thomas Desviana, Rodhiyah H, Rizky Putra Perdana Hariyanto, Ferry Hartawan, Rumadi Imam Mahfud Immasari, Ito Riris Irianto, Denna Ishaq Maulana, Ishaq Jaya, Hikmah Gusdin Putra Jazaudhi’fi, Ahmad Junaedi, Ifan Junaedi, Irfan Karim, Mohammad Alfin Kurniawan, Asep Rizal Lidya Maukar, Anastasia Lulut Alfaris Malun, Nicholaus Ola Marpaung, Oktavia Mustafa, Zulfikar Amirul Nia Rahmawati, Nia Pratama, Bimas Ihsan Putra, Rahmadika Roma Putri, Natasya Kurnia Rachmawati, Lupita Chyntia Rahdiana, Nana Rifki, Miftahudin Rionaldy, Rizqy Sahroni, Taufik Roni, Mr. Samuel Horas Sarjana Siagian, Ruben Cornelius Sianipar, Anton Zulkarnaen Slamet Kacung, Slamet Solikhun Solikhun, Solikhun Suhara, Ade Sulistyanto, Agus Tato, Karolina Teguh Setiadi Ullum, Choirul Wati, Seftin Fitri Ana Wibowo, Firdaus Andi Yanto, Sudi Ari Yudi Kristyawan, Yudi Yulianto, Akmal Budi Yulianto, Tomi Zalukhu, Desiani Zulhalim, Zulhalim