Garuda - Garba Rujukan Digital

PENGARUH USER INTERFACE TOKO ONLINE TERHADAP KENYAMANAN PENGGUNA STUDI KASUS PADA E – COMMERCE WONOSOBO MALL Basiroh Basiroh; Dian Asmarajati; Wilanti Fatmafury
Device Vol 10 No 1 (2020): Bulan Mei
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/device.v10i1.1484

Perkembangan teknologi yang sangat pesat membuat para pelaku bisnis mulai melakukan proses jual-beli secara online, hal ini membuat banyak e-commerce mulai bermunculan di Indonesia yang membuat persaingan bisnis pun berpindah menjadi online, salah satunya adalah e-commerce Wonosobo Mall. Wonosobo Mall adalah e – commerce yang digunakan penulis untuk melakukan studi analisis tentang user interface terhadap kenyamanan pengguna menggunakan metode regresi linier sederhana dan usability testing. Dari 79 responden yang berpartisipasi dalam penelitian ini, 47 responden berjenis kelamin laki – laki sedangkan 32 responden berjenis kelamin perempuan. Dari pengujian yang dilakukan dapat disebut e – commerce Wonosobo Mall adalah baik. Penelitian bertujuan untuk memperoleh hasil yaitu prosentase usability testing untuk mengukur penggunaan e – commerce Wonosobo Mall. Pada penelitian ini menggunakan pengujian secara objektif dengan pengujian secara langsung kepada responden pengguna e - commerce Wonosobo Mall dengan menggunakan kuesioner yang memiliki 5 skala yaitu: learnability, efficiency, memorability, errors dan satisfaction.

C4.5 ALGORITHM AS A DECISION SUPPORT SYSTEM FOR SOCIAL WELFARE AID RECIPIENTS Basiroh, Basiroh; Irjananto, Henry
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 12, No 1 (2024): Jurnal TIKomSiN Vol 12, No. 1 April 2024
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v12i1.816

Masalah penyandang masalah kesejahteraan social atau yang sering disebut dengan PMKS, adalah peseorangan, kelompok masyarakat atau keluarga yang tidak mampu karena suatu hambatan, kesulitan, atau gangguan, tidak dapat melaksanakan fungsi sosialnya, sehingga tidak dapat terpenuhi kebutuhan hidupnya baik jasmani, rohani, maupun sosial secara memadai. Teknolagi saat ini di kembangkan untuk membantu membuat keputusan dengan tepat dan cepat pada penelitian ini menggunakan pohon keputusan (decision tree) C4.5. Dalam algoritma C4.5 ini membaca seluruh sampel data training dan storage dan memuatnya ke memori inilah kelebihan dari algoritma C4.5. Penelitian ini bertujuan untuk mendapatkan recomendasi yang tepat dan akurat dalam menentukan penerimaan bantuan, dan mengurangi kesalahan agar bantuan bisa tepat sasaran. Tujuan yang ingin dicapai dengan dibuatnya prototype atau piranti Sistem Penunjang Keputusan Pemberian Modal Usaha bagi PMKS yaitu, Untuk mengurangi terjadinya pemberian modal usaha yang tidak tepat sasaran dengan menerapkan Algoritma C4.5. Hasil analisis berdasarkan algoritma C 4.5 yaitu Jika Usia sama dengan Produktif maka layak mendapatkan bantuan, Jika Usia sama dengan Tidak Produktif maka tidak layak mendapatkan bantuan.

ANALYSIS OF PLANT FRAGARIA XANANASSA DISEASE DIAGNOSES USING PRODUCTION RULES BASE ON EXPERT SYSTEM Basiroh, Basiroh; Lestari, Wiji
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Errors that occur in solving problems in strawberry plants (Fragaria Xananassa) such as the presence of leaf patches, fruit rot, perforated leaves, and insect pests can be the cause of not maximum in harvest time. The farmers and the general public who planted strawberry (Fragaria Xananassa) need to know the proper treatment of diseases and pests so that future yields as expected. Therefore, it takes an application as a solution in the delivery of information related to the problems that are often encountered in strawberry plants (Fragaria Xananassa). Methods of production rules can be used to diagnose the disease strawberry (Fragaria Xananassa) based on signs or symptoms that occur in the parts of plants and strawberry, the results of diagnosis using this method are the same as we do Consultation on experts. The purpose of this study was to determine the early diagnosis of disease in strawberry plants (Fragaria Xananassa) based on signs or symptoms that occur in the plant and fruit parts. The results of the analysis of this study showed that the validation of disease and symptom data in strawberry plants (Fragaria Xananassa) reached 99%, meaning that between the data of symptoms and disease understudy the accuracy was guaranteed with the experts.

ANALYSIS OF PLANT FRAGARIA XANANASSA DISEASE DIAGNOSES USING PRODUCTION RULES BASE ON EXPERT SYSTEM Basiroh, Basiroh; Lestari, Wiji
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Errors that occur in solving problems in strawberry plants (Fragaria Xananassa) such as the presence of leaf patches, fruit rot, perforated leaves, and insect pests can be the cause of not maximum in harvest time. The farmers and the general public who planted strawberry (Fragaria Xananassa) need to know the proper treatment of diseases and pests so that future yields as expected. Therefore, it takes an application as a solution in the delivery of information related to the problems that are often encountered in strawberry plants (Fragaria Xananassa). Methods of production rules can be used to diagnose the disease strawberry (Fragaria Xananassa) based on signs or symptoms that occur in the parts of plants and strawberry, the results of diagnosis using this method are the same as we do Consultation on experts. The purpose of this study was to determine the early diagnosis of disease in strawberry plants (Fragaria Xananassa) based on signs or symptoms that occur in the plant and fruit parts. The results of the analysis of this study showed that the validation of disease and symptom data in strawberry plants (Fragaria Xananassa) reached 99%, meaning that between the data of symptoms and disease understudy the accuracy was guaranteed with the experts.

DETECTION SYSTEM OF TEN FINGERPRINT PATTERN USING MATHEMATICAL MORPHOLOGY AND BACKPROPGATION ARTIFICIAL NEURAL NETWORK Lestari, Wiji; Basiroh, Basiroh; Widyaningsih, Pipin
Jurnal Pilar Nusa Mandiri Vol 17 No 1 (2021): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v17i1.1988

This research has aim to produce for detection system of human ten fringerprints patterns that according to Dermatoglypic. The fringerprints patterns able to use for advanced analysis to biological and psychological characteristics. This research use back propagation algorithm of neural network to identify of fringerprint patterns. Initial processing is used mathematical morphology method before it is detected. The image is changed to digital image and then it is processed by dilation and erotion for enhancement image. The image that as neuron input of back propagation is changed to gray scale and 8 x 8 of size. Training process use 2000 epochs and patterns [200 2 1]. The output result are identification of human ten fringerprints patterns. This research produce identification are whorl, arch, right loop and left loop patterns of fringerprints. The result of research are whorl patterns 51.67%, right loop patterns 23.33% and left loop 18.33%. The accuration of detection system is 93.33%.

Perancangan Sistem Informasi Penerimaan Peserta Didik Baru (PPDB) Pada Tingkat MTs Supriyanto; Basiroh; Rifqi Fauzi Rahmadzani
Jurnal RESTIKOM : Riset Teknik Informatika dan Komputer Vol 6 No 2 (2024): Agustus 2024
Publisher : Program Studi Teknik Informatika Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/restikom.v6i2.333

The design of the MTs New Student Admission Information System is currently still carried out manually in the process of accepting prospective new students and creating reports on new student acceptance activities. The aim of this research is to design an MTs New Student Admission Information System that can assist the committee in the process of accepting prospective new students and producing reports on new student acceptance activities. The research methodology directly uses direct observation and interviews and uses literature documents. Materials and research material in the form of information on registrant data, charter data, and PPDB selection data. This system consists of several elements, namely master data, PPDB data, reports, tools, and help which are created and processed with Microsoft Visual Foxpro 9.0, with storage and results research in the form of an MTs New Student Admission Information System. With this system, it can be used as an alternative in order to simplify the process of accepting prospective new students and preparing reports on activities for accepting new students quickly, easily and accurately..

OPTIMALISASI PELATIHAN SAINS INFORMATIKA/KOMPUTER DENGAN BLENDED E-LEARNING UNTUK PERSIAPAN UTBK PADA SMA BATIK Basiroh, Basiroh; Sudaryanto, Aninditawidagda Pandam; Rahmadzani, Rifqi Fauzi
WIDHARMA - Jurnal Pengabdian Widya Dharma Vol. 4 No. 02 (2025): Agustus 2025
Publisher : LPPM Universitas Widya Dharma Klaten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54840/widharma.v4i02.346

Intensive training in preparation for the Computer-Based Written Exam (UTBK) is a strategic need to support the success of students entering higher education. One of the increasingly relevant and challenging fields is Informatics/Computer Science, which requires mastery of algorithmic concepts, programming, and computational logic. However, conventional training methods are often unable to answer the dynamics of flexible, effective, and broad-reaching learning needs. Therefore, the Blended E-Learning approach—a combination of online and face-to-face learning—is needed to optimize the training process. This objective is to design a Blended E-Learning-based training model that is adaptive, structured, and oriented towards achieving UTBK competencies in Informatics. The methodology used includes analyzing participant needs, designing curriculum, developing digital learning media, and implementing learning outcome evaluations. The results of the study show that the Blended E-Learning approach is able to increase student engagement, strengthen mastery of the material, and provide a more flexible and efficient learning space. With systematic implementation and appropriate technological support, this training model is expected to be a strategic alternative in improving students' academic readiness and expanding access to quality education in the field of Informatics/Computers.

Perancangan Sistem Informasi E- Library Menggunakan UML model Berbasis Client Server Basiroh; Widya Novita Al-Afifah Irwanto
Tekompedia : Jurnal Ilmiah Ilmu Komputer Vol 2 No 1 (2025): Januari
Publisher : CV Nature Creative Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/technomedia.v2i1.122

Various information systems are currently experiencing rapid development, one of which is desktop-based, this system is one of the things that will be adopted for library data management activities in schools. Currently, the library system at one of the State Junior High Schools in Prambanan still uses the method of writing guest books to manage library data. One thing that is still being done today is writing borrower data, book data, and visitor data. Library staff record data on students who borrow books, the possibility of the book being returned but not recorded, or returned damaged or lost. Designing a library system using UML is designed to meet system deficiencies. The results of the library information system are expected to make it easier for students to obtain the desired book information. Officers can search through the existing system in library management to borrow books in a relatively quick and structured manner. The book return process is well-systemized

Pelatihan Desain Packaging Produk UMKM Guna Menigkatkan Minat Beli Di Era Digitalisasi Desa Wonorejo Kecamatan Polokarto Kabupaten Sukoharjo Rahmadzani, Rifqi Fauzi; Basiroh, Basiroh; Supriyanto, Supriyanto
Jompa Abdi: Jurnal Pengabdian Masyarakat Vol. 3 No. 2 (2024): Jompa Abdi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Jompa Research and Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57218/jompaabdi.v3i2.1066

Desa Wonorejo terletak di Kecamatan Polokarto Kabupaten Sukoharjo terdiri dari 3 kebayanan, 6 RW, 31 RT, dengan jumlah penduduk sebanyak 6.590 jiwa perbulan Desember 2023, jumlah laki-laki sebanyak 3.292 jiwa dan perempuan sebanyak 3.298 jiwa, dengan jumlah KK sebanyak 1.936 KK. Desa Wonorejo merupakan salah satu Desa yang berpotensi menjadi Desa Cerdas yang ada di Kabupaten Sukoharjo karena memiliki banyak varian Home Industri, UMKM, Layanan Pendidikan Formal dan Non Formal, dan Pelayanan Administrasi Pemerintahan yang baik. Untuk itu Ruang Komunitas Digital Desa Wonorejo ingin melaksanakan program Desa Cerdas yang fokus pada enam pilar yaitu Masyarakat Cerdas (smart people), Mobilitas cerdas (smart mobility), Ekonomi cerdas (smart economic), Pemerintahan Cerdas (smart government), Pola Hidup Cerdas (smart living), Lingkungan Cerdas (smart environment) Partisipatif Desa Cerdas dengan melibatkan masyarakat yang nantinya akan menjadi bahan perencanaan pembangunan Desa Cerdas sehingga meningkatkan literasi digital. Literasi digital menjadi dasar untuk mendukung seluruh pilar Desa Cerdas. Kegiatan pelatihan dalam digitalisasi tersebut bertujuan untuk mengembangkan kemampuan masyarakat lebih kreatif, inovatif, dan bermanfaat bagi kemajuan desa.

ANALISIS SENTIMEN NEGATIVE PADA APLIKASI JOBSTREET MENGGUNAKAN HADOOP DISTRIBUTED FILE SYSTEM (HDFS) Basiroh, Basiroh; Widya Novita Al Afifah Irwanto
STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Vol. 4 No. 4 (2025): November
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/storage.v4i4.6338

Pertumbuhan pesat teknologi informasi telah memudahkan masyarakat dalam mengakses layanan perekrutan kerja melalui platform digital seperti JobStreet. Namun, tingginya interaksi pengguna juga memunculkan berbagai ulasan, termasuk sentimen negatif yang dapat memengaruhi citra perusahaan. Oleh karena itu, analisis sentimen menjadi penting untuk mengidentifikasi opini negatif secara otomatis. Penelitian ini bertujuan untuk menganalisis sentimen negatif pada ulasan pengguna aplikasi JobStreet dengan memanfaatkan Hadoop Distributed File System (HDFS) sebagai media penyimpanan data berskala besar, serta membandingkan kinerja metode Naive Bayes dan Support Vector Machine (SVM). Tahapan penelitian meliputi pengumpulan data ulasan pengguna, pra-pemrosesan teks (pembersihan, tokenisasi, stopword removal, dan stemming), pembobotan menggunakan TF-IDF, serta klasifikasi dengan metode Naive Bayes dan SVM. Evaluasi kinerja dilakukan berdasarkan metrik akurasi, presisi, recall, dan F1-score. Hasil penelitian menunjukkan bahwa kedua algoritma mampu mengklasifikasikan sentimen negatif dengan baik, namun SVM memberikan kinerja lebih unggul dibandingkan Naive Bayes. SVM memperoleh akurasi 86%, recall 0,84%, dan F1-score 0,85%, sedangkan Naive Bayes mencatat akurasi 80%, recall 0,76%, dan F1-score 0,79%. Hal ini menunjukkan bahwa pemilihan algoritma berpengaruh terhadap kualitas analisis sentimen

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