p-Index From 2020 - 2025
22.021
P-Index
This Author published in this journals
All Journal TEKNIK JIPTEK : Jurnal Ilmiah Pendidikan Teknik dan Kejuruan Publikasi Pendidikan JSI: Jurnal Sistem Informasi (E-Journal) ASAS : Jurnal Hukum Ekonomi Syariah Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika JUITA : Jurnal Informatika Jurnal Al-Tadzkiyyah Jurnas Nasional Teknologi dan Sistem Informasi Local Wisdom : Jurnal Ilmiah Kajian Kearifan Lokal Jurnal Terapan Abdimas JURNAL SIPIL SAINS Fountain of Informatics Journal Industria: Jurnal Teknologi dan Manajemen Agroindustri QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama JURNAL KONSELING GUSJIGANG BAREKENG: Jurnal Ilmu Matematika dan Terapan Dinamisia: Jurnal Pengabdian Kepada Masyarakat Pendas : Jurnah Ilmiah Pendidikan Dasar Justek : Jurnal Sains Dan Teknologi JSKK (Jurnal Sains Keolahragaan dan Kesehatan) IRJE (Indonesian Research Journal in Education) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Ilmu Kesehatan Jurnal Sisfokom (Sistem Informasi dan Komputer) ILKOM Jurnal Ilmiah RESEARCH : Computer, Information System & Technology Management Martabe : Jurnal Pengabdian Kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Pendidikan Ekonomi (JURKAMI) Jurnal Pro Hukum : Jurnal Penelitian Bidang Hukum Universitas Gresik Jesya (Jurnal Ekonomi dan Ekonomi Syariah) Multitek Indonesia : Jurnal Ilmiah Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Jurnal Ilmu Pendidikan (JIP) STKIP Kusuma Negara JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Neraca: Jurnal Pendidikan Ekonomi Jurnal Pendidikan Edutama Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Qua Teknika Jurnal Ilmu Kesehatan Bhakti Husada: Health Sciences Journal Jurnal Pedagogik Olahraga Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Sporta Saintika Indonesian Journal of Halal Research KOLOKIUM: Jurnal Pendidikan Luar Sekolah Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Jambura Journal of Electrical and Electronics Engineering Cendekia : Jurnal Pengabdian Masyarakat Journal of Robotics and Control (JRC) Respati Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat JIKA (Jurnal Informatika) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Paedagogy Journal of Innovation Information Technology and Application (JINITA) Jurnal Bidan Pintar (JuBiTar) Pelita Masyarakat Jurnal Pengabdian UNDIKMA JAMI: Jurnal Ahli Muda Indonesia JiTEKH (Jurnal Ilmiah Teknologi Harapan) Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (JASMIEN) International Journal of Artificial Intelligence and Robotics (IJAIR) Keraton: Journal of History Education and Culture Jurnal Pengabdian Masyarakat Indonesia Edu Dharma Journal: Jurnal penelitian dan pengabdian masyarakat Jurnal Ilmiah Wahana Pendidikan Jurnal PTI (Jurnal Pendidikan Teknologi Informasi) Teknika Sains : Jurnal Ilmu Teknik Jurnal Elkasista Jurnal Abdimas Bina Bangsa Jurnal Pengabdian Masyarakat (ABDIRA) Civil Engineering and Technology Journal Jurnal EduHealth Bulletin of Community Engagement JUSTIN (Jurnal Sistem dan Teknologi Informasi) Bulletin of Information Technology (BIT) Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat EXPLORER Indonesian Journal of Innovation Studies Jurnal Kependidikan Islam Journal of Mechanical Design and Testing (JMDT) Joutica : Journal of Informatic Unisla Jurnal Informasi Sains dan Teknologi (ISAINTEK) Journal Of Human And Education (JAHE) Archive: Jurnal Pengabdian Kepada Masyarakat ALLURE JOURNAL Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat Edukasia: Jurnal Pendidikan dan Pembelajaran Jurnal Masyarakat Indonesia ABDINE Jurnal Pengabdian Masyarakat Jurnal Muria Research Guidance and Counseling (MRGC) Insand Comtech : Information Science and Computer Technology Journal Eduvest - Journal of Universal Studies JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Electronic Journal of Education, Social Economics and Technology Innovative: Journal Of Social Science Research Jurnal Kedokteran Hewan Maliki Islamic Economics Journal Jurnal Manajemen Keuangan Syariah Jurnal Salamata Enrichment: Journal of Multidisciplinary Research and Development Jurnal REP (Riset Ekonomi Pembangunan) Jurnal Konseling Pendidikan Islam Riwayat: Educational Journal of History and Humanities SmartComp Justicia Journal Jurnal Global Ilmiah Jurnal Ilmiah Informatika dan Komputer Hut Publication Business and Management Neurona Proceedings Series of Educational Studies Journal of Social Work and Science Education Buletin Pos dan Telekomunikasi Journal of Community Services and Engagement: Voice of Community (VOC) Konstruktivisme : Jurnal Pendidikan dan Pembelajaran EDU RMIK Jurnal Edukasi Rekam Medis Informasi Kesehatan JOURNAL OF Pharmacy and Tropical Issues Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Prasasti Ilmu Servqual: Jurnal Ilmu Manajemen
Claim Missing Document
Check
Articles

SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN SANTRI BARU DI PONDOK MODERN AL-ISLAM KAPAS SUKOMORO NGANJUK MENGGUNAKAN METODE TOPSIS kholis, nur; Sucipto, Sucipto; Firliana, Rina
Jurnal Sistem Informasi Vol 10, No 1 (2018): April
Publisher : Major of Information Systems Faculty of Computer Science Sriwijaya University

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

Abstract

Calon santri baru adalah sekumpulan anak - anak yang ingin mempelajari atau ingin mengetahui ilmu agama maupun ilmu pengetahuan, Sistem pendukung keputusan penerimaan santri baru adalah bagian dari sistem informasi berbasis komputer yang dipakai untuk mendukung pengambilan keputusan dalam suatu organisasi atau perusahaan. Masalah pada penelitian ini adalah setiap tahun ajaran baru, Pesantren mengadakan penerimaan dan penyeleksian calon santri baru, untuk menentukan proses penyeleksian santri di Pondok Mondern Al-Islam, proses penyeleksian ini sering timbul permasalahan seperti terbatasnya panitia seleksi, lamanya penilaian, serta penilaian yang terkadang subyektif yang menyebabkan kesalahan menganalisis calon santri yang diterima atau ditolak., Oleh sebab itu dilakukan penelitian sistem penunjang keputusan (SPK). Penelitian ini akan diangkat suatu kasus yaitu mencari alternative terbaik bedasarkan kriteria-kriteria yang telah ditentukan dengan menggunakan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).  Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu santri terbaik. Tujuan dari penelitian ini adalah untuk memudahkan pengguna terhadap sistem informasi pengambilan keputusan, metode yang digunakan dalam sistem ini yaitu dengan Metode metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). untuk memberi referensi yang tepat dengan kriteria yang sesuai, dengan bahasa  pemrograman delphi dan perangkat lunak, pendukung yang digunakan adalah Delphi Metode pengumpulan data menggunakan observasi. Kesimpulan yang dicapai dengan adanya sistem yang diciptakan ini diharapkan dapat membantu dan mempermudah dalam memberi referensi.  
DESAIN DATABASE UNTUK OPTIMALISASI SISTEM PREDIKSI TRANSAKSI PENJUALAN Sucipto, Sucipto; Indriati, Rini; Hariawaan, Fitra Bagoes
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 2, No 2 (2017)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (218.177 KB) | DOI: 10.29100/jipi.v2i2.367

Abstract

The advance of informational technology is expected to be a tool which helps data tabulating process.  Management and usage of the data systematically can produce detailed information. The important of data management is able to enhance the quality of information that is processed. Data management is started from the storage system of data namely database design. In the database design, the thing that should be heeded is the relation of each table inside of it. The relation among the table shows the linkages data that will be processed to be essential information. In this research, the focused discussion is optimalizing a table for further tabulating towards a marketing informational system database.  The database that will be optimalized will be used to marketing prediction tabulation. In tabulating stage, data prediction in database will be exported into two databases namely PostgreSQL and MariaDB. The data used for examining amount 476619 marketing data is taken from marketing transaction among 2015-2017. This research data is tabulated using join table that produce 374 data. The data is the information that will be used for marketing prediction. Based on rapidity examination of marketing data tabulation by using PostSQL indicates slight difference around 0.26 seconds faster than MariaDB. The research result of database optimalizing design which has been made shows that PostgreSQL is better in data tabulating rapidity than MariaDB
Hoax Detection at Social Media With Text Mining Clarification System-Based Sucipto, Sucipto; Tammam, Aditya Gusti; Indriati, Rini
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 3, No 2 (2018)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (186.002 KB) | DOI: 10.29100/jipi.v3i2.837

Abstract

Hoax is a current issue that is troubling the public and causes riot in various fields, ranging from politics, culture, security and order, to economics. This problem cannot be separated from the impact of rapid use of social media. As a result, every day there are thousands of information spread on social media, which is not necessarily valid, so that people are potentially exposed to hoax on social media. The hoax detection system in this study was designed with an Unsupervised Learning approach so that it did not require data training. The system is built using the Text Rank algorithm for keyword extraction and the Cosine Similarity algorithm to calculate the level of document similarity. The keyword extraction results will be used to search for content related to input from users using the search engine, then calculate the similarity value. If the related content tends to come from trusted media, then the content is potentially factual. Likewise, if the related content tends to be published by unreliable media, then there is the potential for hoax. The hoax detection system has been tested using confusion matrix, from 20 news content data consisting of 10 correct issues and 10 wrong issues. Then the system produces a classification with details of 13 issues including wrong and 7 issues including true, then the number of classifications that match the original label are 15 issues. Based on the results of the classification, an accuracy value of 75% was obtained.
Improving The Performance of Alumni Achievement Assessment by Integrating Website-Based Tracer Study Information Systems and Telegram API Sucipto, Sucipto; Dewi, Ervin Kusuma; Resti, Nalsa Cintya; Santi, Indyah Hartami
TEKNIK Vol 41, No. 1 (2020): May 2020
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (997.078 KB) | DOI: 10.14710/teknik.v41i1.25307

Abstract

It is the mission of Vocational High School (SMK) education in Indonesia to produce highly competitive and skilled graduates. One standard for evaluating the success of vocational education is assessing the achievements of alumni. The evaluation process can be carried out with programmed alumni tracking activities or commonly known as tracer studies. However, the implementations of tracer studies that have been carried out by vocational schools in Kediri are still using the manual method. These conditions make the school find many obstacles in the implementation of tracer studies. Some schools have used technology with e-mail applications but have financial constraints. This research aims to improve the performance of assessing the alumni achievement of Vocational Schools in Kediri by integrating the website-based tracer study information system with social media Telegram API. Usability testing that gave 4.83 of 5 scales has shown that the integration can improve the performance and benefits of an application compared to the application before integration
Perencanaan Sistem Manajemen Evaluasi Belajar Mahasiswa Berbasis Elearning Dengan Pendekatan Berorientasi Objek Sasongko, Muhammad Zuhdi; Sucipto, Sucipto; Daniati, Erna
Jurnal Teknologi Informasi RESPATI Vol 13, No 2 (2018)
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/jtir.v13i2.228

Abstract

INTISASIMahasiswa merupakan suatu tingkatan siswa yang tertinggi. Mahasiswa juga diharapkan sebagai agen perubahan dalam era perubahan zaman. Proses pembelajaran dari dosen ke mahasiswa ini perlu adanya pengukuran tingkat pemahaman. Pengukuran ini juga disebut dengan evaluasi. Proses evaluasi ini menemui kendala dalam pelaksanaannya. Kendala tersebut adalah mengenai koreksi yang dilakukan satu per satu dan prosesnya lama. Hal ini membutuhkan sistem informasi manajemen evaluasi belajar. Pengembangan sistem yang lebih baik direkomendasikan dengan menggunakan orientasi objek. Hal ini memiliki keunggunlan dalam hal kejelasan data, kemudahan pengembangan, dan mengurangi ambiguitas. Selain itu, perencanaan pengembangan perlu diakan dengan menganalisis kelemahan sistem menggunakan PIECES dan studi kelayakan yang mengacu pada aspek teknik, operasional, dan ekonomi. Pada penelitian ini menghasilkan dokumen analisis kelemahan sistem dan studi kelayakan berdasarkan teknik, operasionalm dan ekonomi. Hasil penelitian ini diharapkan sebagai acuan awal pelaksanaan pengembangan Sistem Informasi Manajemen Evaluai Belajar.Kata kunci— Perencanaan, PIECES, Studi Kelasyakan, Sistem Informasi Manajemen. ABSTRACTStudents are the highest people. Students are also expected as a game in modern times. The process of learning from college to student needs to be measured level of understanding. This measurement is also called evaluation. The process of this process occurs in the implementation. These constraints are measurements made one by one and the process is long. This requires a learning management evaluation information system. Better development systems use object attributes. It has a keungggunlan in terms of data clarity, ease of development, and reduce ambiguity. In addition, needs development needs to be analyzed using PIECES and feasibility studies that address technical, operational, and economic aspects. In this research resulted system analysis and feasibility study based on technique, operational and economy. The results of this study is expected as a reference early implementation of Management Information Systems Evaluai Learning.Kata kunci—  Planning, PIECES, Feasibility Study, Management Information System.
Implementasi Metode Simple Additive Weighting Untuk Diagnosis Gejala Diabetes Mellitus Bastian Dwiki Prasetyo; Erna Daniati; Sucipto S
Jambura Journal of Electrical and Electronics Engineering Vol 3, No 2 (2021): Juli - Desember 2021
Publisher : Teknik Elektro - Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (12.477 KB) | DOI: 10.37905/jjeee.v3i2.10886

Abstract

Penyakit diabetes mellitus merupakan kondisi dimana tubuh tidak dapat memproduksi insulin secara efektif sehingga terjadilah kelebihan gula dalam darah. Diabetes mellitus merupakan penyakit yang sudah tidak asing lagi bagi masyarakat indonesia. Penyakit ini juga termasuk dalam penyakit berbahaya yang dapat menimbulkan kematian pada penderitanya. Tidak hanya orang dewasa yang dapat terserang penyakit diabetes mellitus, bahkan anak-anak pun bisa saja mengidap penyakit ini. Kebanyakan masyarakat kurang sadar akan bahaya penyakit diabetes mellitus dan tidak mengetahui bahwa dirinya juga berkemungkinan mengidap penyakit ini. Hal tersebut dikarenakan kurangnya pengetahuan masyarakat tentang penyakit diabetes mellitus disertai dengan keterbatasan biaya dan waktu untuk berkonsultasi ke dokter. Maka dari itu di penelitian ini penulis ingin membuat suatu sistem pendukung keputusan yang dapat membantu masyarakat mendiagnosis gejala penyakit diabetes mellitus sejak dini. Penerapkan metode pada penelitian ini ialah metode penjumlahan terbobot yang sering juga dikenal dengan istilah metode Simple Additive Weighting (SAW). Metode ini biasanya digunakan untuk menentukan kriteria dan pembobotan nilai, yang nantinya diharapkan dapat membantu masyarakat mengetahui bahwa dirinya mungkin terjangkit diabetes mellitus sehingga tidak terlambat dalam menanganinya. Hasil dari penelitian ini ialah pengelompokan hasil perhitungan yang nantinya akan dijadikan sebagai diagnosis gejala diabetes melitus berdasarkan tingkat resikonya.Diabetes Mellitus is a condition that occurs when the body is unable to produce sufficient amounts of insulin and causes glucose to build up in the blood. Diabetes Mellitus is a well-known disease in Indonesia. It is classified as a dangerous disease that can cause death to the patient. It threatens not only adults but also children. Most people lack of awareness about the threat of diabetes mellitus and whether they could have and not know it. It’s because people barely have the knowledge about diabetes mellitus also barely have the time and money to consult to a doctor.  Therefore in this study the researcher wanted to create a decision support system that can help people diagnose the symptoms of diabetes mellitus at an early age. The research method that used in this study is the weighted addition method, also known as Simple Additive Weighting (SAW). This method is usually used to determine the criteria and preferred weight values, which later is expected to let the people know whether they may have diabetes mellitus so they could treat it immediately. The result of this study is the grouping of the calculation results which will be used as a diagnosis of diabetes mellitus symptoms based on the level of risk.
Integration of Legalization Information System Web-Based using Shipping API and Telegram API Sucipto Sucipto; Jamilah Karaman
JUITA : Jurnal Informatika JUITA Vol. 8 Nomor 2, November 2020
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1219.146 KB) | DOI: 10.30595/juita.v8i2.7104

Abstract

Education is a right for every citizen. Quality education makes people more intelligent. Educational outcomes documented in a file called a diploma. A diploma is a necessary file for doing things related to work or other administrative matters. Generally, the diploma file submitted is in the form of a photocopy of a certificate that has been legalized for administrative requirements. The process of legalizing diplomas is often a hindrance because the time required is quite long and especially if someone is in an area far from where to take care of legalization. In the industrial era 4.0, information technology can be utilized to facilitate public access to services in the world of education, for example, using technology to implement an online legalization system. Application of technology in the legalization process is not just online but can be integrated with API (Application Programming Interface). It can attract millennial access to the application easily. There are two APIs used, namely the Shipping API and the Social Messaging API. Shipping API makes it easy to check shipping costs based on alumni location. Social messaging API with assistant features so that it can be easier to serve alumni accessing application features via Telegram. This study aims to facilitate the alumni in legalizing online to make time-efficient and affordable—implementation of information systems with the integrated website media Telegram API and Rajaongkir or shipping cost API. Based on testing the usability testing results obtained a value of 4.56 on a scale of 5. These results indicate that the application can function following the needs of users of information systems.
Cyberbullying Detection Modelling at Twitter Social Networking Ika Yunida Anggraini; Sucipto Sucipto; Rini Indriati
JUITA : Jurnal Informatika JUITA Vol. 6 Nomor 2, November 2018
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (891.398 KB) | DOI: 10.30595/juita.v6i2.3350

Abstract

Cybercrimes often happened in social networking sites. Cyber-bullying is a form of cybercrime that recently trended in one of popular social networking sites, Twitter. The practice of cyber-bullying on teenager can cause depression, murderer or suicidal thoughts and it needs a preventing action so it will not harmful to the victim. To prevent cyber-bullying a text mining modelling can be done to classify tweets on Twitter into two classes, bullying class and not bullying class. On this research we use Naïve Bayes Classifier with five stages of pre-processing : replace tokens, transform case, tokenization, filter stopwords and n-grams. The validation process on this research used 10-Fold Cross Validation. To evaluate the performance of the model a Confusion Matrix table is used. The model on 10-Fold Cross Validation phase works well with 77,88% of precision , 94,75% of recall and 82,50% of accuracy with +/-5,12%  of standard deviation.
Sales Transaction Result Analysis for Increase Prediction of Income Sucipto Sucipto
Fountain of Informatics Journal Vol 3, No 2 (2018): November
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/fij.v3i2.2286

Abstract

The use of data that has long stored in the information system can be utilized to know information that supports decision-making activities. One of them is sales transaction data. During this time, the case of sales transaction data is rarely analyzed to be taken into consideration when taking a decision, such as analyzing the transaction data. The prediction analysis of the transaction should analyze the inflation factors that affect earnings. It is predicted that inflation will lead to an increase in the price of basic necessities which can also lead to employers tend to raise the price of products to be sold. Therefore, this research focuses to analyze sales transaction data at a restaurant. Where the data used is data that has been stored for 3 years within the period 2015-2017. The purpose of this study is to determine the quality comparison of sales predictions of sales between years with regard to inflation based on changes in selling prices. The result of the study is known that the prediction of goods sold with actual data in the following year is quite significant and the prediction of income is not affected by the inflation based on price comparison.
Analisis Data Warehouse Pada Perpustakaan Man X Untuk Efisiensi Manajemen Sucipto Sucipto; Arie Nugroho
Fountain of Informatics Journal Vol 5, No 3 (2020): Specials Issue November - Seminar Nasional Sains dan Teknologi
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/fij.v5i3.4988

Abstract

AbstrakPenelitian ini mengambil studi kasus di salah satu Perpustakaan sekolah Madrasah Aliyah Negeri yang ada di kota Kediri. Tujuan dari penelitian ini adalah untuk membangun pangkalan data hingga dapat di analisis dan menjadi informasi yang dapat diakses dengan cepat dan akurat sehingga dapat membantu pimpinan perpustakaan dalam mengambil keputusan dengan cara memanfaatkan program pengolahan data berbasis teknologi OLAP untuk menyajikan informasi  peminjaman buku secara detail yaitu dapat dilihat dari berbagai dimensi dalam waktu 1 tahun. Pada Perpustakaan MAN X kegiatan operasional yang meliputi absensi anggota, peminjaman buku, pengembalian buku masih di catat dalam buku induk. Permasalahannya yaitu admin perpustakaan mengalami kesulitan dalam mendapatkan  informasi terkait buku apa yang sering dipinjam, buku apa yang jarang dipinjam, buku apa yang jumlahnya sedikit dan tidak sepadan dengan peminjamannya sehingga pimpinan kesulitan dalam menentukan kebijakan pengadaaan buku baru. Penelitian ini dilakukan mengingat pentingnya pengelolaan data pada perpustakaan agar proses pengelolaan data bisa dilakukan dengan lebih baik. Penelitian ini menggunakan metode diskriptif kuantitatif dan akan di implementasikan mengggunakan perangkat lunak bantu Pentaho Kettle. Dalam membangun data warehouse ini mengunakan metode Kimball empat langkah. Pada pembuatan data warehouse dilakukan Extract Transform Load (ETL), kemudian data diekstrak dan ditransformasikan ke dalam data warehouse sesuai dengan dimensi dan fakta, selanjutnya data diimport dan ditampilkan di dalam aplikasi business intelligence berbasis web.  Hasil  dari penelitian ini adalah sebuah aplikasi business intelligence berbasis web yang bisa menampilkan jumlah peminjaman buku berdasaarkan nama anggota, judul buku, pengarang, penerbit, kategori dan tanggal peminjaman buku sehingga dapat digunakan untuk analisis informasi peminjaman buku pada perpustakaan MAN X. Untuk selanjutnya dapat dilakukan penelitian lanjutan yang dapat meningkatkan performa dan juga fungsi data warehouse sebagai bentuk distribusi data.Kata kunci: Perpustakaan, Data Warehouse, OLAP Abstract[Data Warehouse Analysis in the MAN X Library] This research took a case study in one of the State Aliyah Madrasah School Library in Kediri. The purpose of this research is to build a database so that it can be analyzed and become information that can be accessed quickly and accurately so that it can help library leaders in making decisions by utilizing an OLAP technology-based data processing program to present detailed book lending information that can be seen from various dimensions within one year. At the MAN X Library, operational activities, including member attendance, book borrowing, and book returns, are still recorded in the main book. The problem is that the library admin has difficulty getting information related to what readers are often borrowed, what books are rarely borrowed, what books are few and are not commensurate with borrowing. The leadership has difficulty determining the policy for procuring new books. This research was conducted considering the importance of data management in libraries so that the data management process can be carried out better. This research uses the descriptive quantitative method and will be implemented using the Pentaho Kettle software. In building this data warehouse using the four-step Kimball method. In making the data warehouse, Extract Transform Load (ETL) is carried out. Then the data is extracted and transformed into a data warehouse according to the dimensions and facts. The data is imported and displayed in a web-based business intelligence application. The result of this research is a web-based business intelligence application that can display the number of book borrowings based on the name of the member, book title, author, publisher, category, and date of borrowing the book so that it can be used to analyze information on book lending at the MAN X library. Henceforth, further research can be carried out, which can improve the performance and function of the data warehouse as a form of data distribution.Keywords: Library, Data Warehouse, OLAP
Co-Authors AA Sudharmawan, AA Abd Rohman, Abd Abdul Wahid Abrar, Ihya' Nashirudin Adha, Syamsul Adhi Wicak Milbar Gamas Adhika Widyaparaga Aditya Gusti Tammam Afandi, Zainal AFIF, ACHMAD Agdeka Cory Zarkasi Agung Slamet Kusmanto Agus Fatony Tohari Agus Muji Santoso Agus Supriatna Somantri Agustina, Sheila Mita Ahmad Ahmad Ahmad Fauzan Aidina Ristyawan Aidina Ristyawan Aidina Ristyawan, Aidina Aini, Ersa Dwi Nur Ajmi, Nur Dzakiyyah Akmal Hisyam Pradhana Al-Riza, Dimas Firmanda Alamsyah, Dedi Aldi Pratama Ali Tarmuji Alita, Dini Arum Alkadri, Syarifah Putri Agustini Amelia Nur Fadhila Ammari, Rieko Anak Agung Sagung Alit Widyastuty Anatasya, Dita Riyantiin Andani, Deawuri Andrian Irsyan Andriyani Rahmah Fahriati Anggreani, Nova Yunita Anita Sari Wardani Anwar Abidin, Achmad Ardiansyah, Anggito Setiawan Ardiansyah, Fariq Ari Kurniawan Arie Nugroho, Arie Arif Rahman Arifin, Damaya Noor Asep Hidayat Asmarandani, Kintan Asnawi Asnawi Asrul Abdullah Asshidiqqi, Khatami Astuti, Arin Yuli Aulia, Gina Azhari, Muhammad Holqi Rizki Azizah, Nastiti Azya, Zahra Kasfillah Bagus Dwi Andika Bambang Dwi Argo Bambang Kurniawan Bastian Dwiki Prasetyo Batubara, Muhammad Iqbal Bella Putri Damayanti Berlina Hidayati Bhima P, Antowi Bifadhlillah Marsheila Islami Budhi Utami Budianto, Suhartawan Cahyo, Septian Dwi Cahyono, Shandy Arshad Busro carsiwan, carsiwan Chairul Effendi Cheumar, Muhammadtahir Cindy Aulia Lorenza Cinta Azzaria Claudia Gadizza Perdani, Claudia Gadizza Danang Triagus Setiyawan Dani Fadillah Danu Irwan Zaelani Matondang, Danu Irwan Dany Ardhian Deden Makbuloh Desby Juananda, Desby DEWI FITRIANI Dewi Rahajoe Dewi Seruni Dhika Arif Rizqon, Muhammad Dicky Syahputra Lubis, Dicky Didik Dwi Prasetya Dika Prasetyo Dimas Abimanyu Dimas Adam Saputra Dimas Firmanda Al Riza Diyah Dewanti, Beauty Suestining Dr. Tite Juliantine,M.Pd Dwi Harini Dyah Mustikasari Edris Zamroni Effendy, Christanty Eko Nugroho Julianto Eliyanto, Aprillia Putri Elok Zubaidah Ely Yuliawan Endang Sri Redjeki Erfian Danu Arius Erna Daniati Ersa Dwi Nur Aini Ervin Kusuma Dewi, Ervin Kusuma Erwin Putera Permana Erwin Saputra Siregar Fadillah Fadillah Fadli Hidayat, M. Noer Faizal, Doddy Falah, Moh. Zainul Falasifah, Ratu Fanani, Muchammad Rusdi Faraasyatul ‘Alam, Ghasa Farhan Gagat Retnanto Faruq, Umar Al Fatihin, Muhammad Khoirul Fauji, Diah Ayu Septi Febiyanti, Idha Fenita Purnama Sari Indah Ferdian Ahmat Felmidi Ferry Kurniawan, Ferry Firda Novita Kurniyasari Firdaus, Shifa Putri Firdhossiah, Shailatul Firmansyah, Andika Fitra Bagoes Hariawan Fitra Fitra, Fitra Fitra Jaya Fitra Jaya Fitri Normasari Fitriani, Anasia Crisninda Fitriani, Lely Mustikasari Mahardhika Fuad, Muhammad Nur Fuadi, Moh Asif Furi Windari, Furi Gama Bagus Kuntoadi Gayatria Oktalina Gita Ayuningtyas Gita Natalia Krisnawati Gudnanto, Gudnanto Gunawan, Putri Miya Guterres, Juvinal Ximenes H Sihite, SP.,MM, Tiurlina Hana Refri Gunawan Hanifah, Sri Yuni Hardika Hardika, Hardika Hariawaan, Fitra Bagoes Hariyono, TA Haryanto, Sri Helmiyanur, Helmiyanur Herisandi, Desti Herman Tolle Hermansyah Hermansyah Heru Setiawan Heru Stiawan Hery Kristiyanto Hesti Istiqlaliyah Hesti Mei Wulandari Hestia Sunjani Hesty Amelia Gultom, Hesty Hidayati, Luki Husim, Mukhammad Hutabarat, Zuhri Saputra Hutagalung, Heriyawan I Made Miasa Ibnu Qoyim, Ibnu Ida Widaningrum, Ida Idris, Ahmad Ika Nurjanah Ika Yunida Anggraini Imam Santoso Imaniar Purbasari Indah Lestari, Indah Indah Yuni Astuti, Indah Indrajaya, Dimas Indrawan, Dea Rizky Indriati, Rini Iriyanto Bauw, Rauuf Herlambang Ishom, Moh. Isna, Fariha Nurul Istikoma Istikoma Izza, Siti Fitrohitul Jahri, Muhammad Jainudin, Khorlis Jamilah Karaman Jannah, Ro’ikatul Jatmiko Jatmiko Jatmiko Jaya, Fitria Jeniusman Ahmad Hutagalung Jismi, Muhammad Faizul Jose, Anthonio Fernando Juliana Juliana Junetri, Syakilla Dwi Juwanti, Juwanti Kadarisman Kadarisman Kamiludin, M. Karaman, Jamilah Karim, Sya’roni Kartika Efendi, Yuli Kartono, Sumudi Khafizh Rosyidi, Khafizh Khairul Khasanah, Ramadhani Uswatun Khoirudin Eko Nurcahyo Khotibul Umam Komarudin Komarudin Kuni Nadliroh Kurniawan, Afan Kurniawati, Eka Kusanagi, Kanako N. Larasinta Sihombing , Larasinta Lasi Purwito Latifah, Anisatul LESTARI, SANTI Linda Elyanawati Rahayu Listiana, Ida Listiyono Budi Listyaningrum, R. Anggia Lita Norfiana Lukman Hakim Hutagalung Lukman Handoyo Luo Putra Fau, Joyada M Iqbal Khalid M Najibuloh Muzzaki Ma'mun, Amung Maha Shelin Sahira Maha, Sukma Dewi Yusro Mahfud, Ashari Mansur Tanjung Marista Dwi Rahmayantis Mariyani, Mariyani Maruli Tua L. Tubing, Victor Marwin Marwin Maryanti, Yossi Mas’ud, Imron Maulida, Sri Agustina Maulidah, Khoirotun Nur Mentari, Fabiana Menur Wahyu Pangestika, Menur Wahyu Meyandie Nasution, Muhammda Darwis Mira Yosefa Siregar, Mira Miroso Raharjo, Kukuh Misbahul Munir Mizbahuzzaman, Muhammad Moch Yasir Yusuf Moch. Nurul Hadi Mochamat Helmi Mochammad Reon Anwarrudin Moh Kusen Mohamed Naeem Antharathara Abdulnazar Muhammad Andhika Dharmawan Muhammad Arwani Muhammad Darwis Meyandie Nasution Muhammad Fikrun Nadhif Muhammad Iqbal Khalid Muhammad Lutfi Almer Hasan, Muhammad Lutfi Almer Muhammad Muhammad Muhammad Najibulloh Muzaki Muhammad Zuhdi Sasongko Muhammad, Andre Ravi Mukhammad Annafinurika Mukhtar, Mutia Kamalia Mukmin, Bagus Amirul Mulyono, Kingkin Kurniawati Mumtaz, Tsabitah Zain Munar, Hendri Munawar, *Zaid Munir, Sjaiful Muslimah Syahrianti, Ukhty Mustofa, M. Ary Mustofa, Mohammad Annan Makruf Muzaki, Muhammad Najiblloh Nalsa Cintya Resti Nasution, H. Zafril Abdi Neneng Sri Purwaningsih Nesa, Fathul Hakim Ni Nyoman Sarmi, Ni Nyoman Ningrum, Aulia Nisa’ Cahya Ningrum, Dea Yuliana Ayu Nisa A’rafiyah Tri Wulandari Nita Yunianti Ratnasari Noor Hidayah Novilyasari, Dian Nugroho, Arie Nugroho, Rhomandika Cahyo Nur Hasanah Nur Kholis Nur Sayidah Nuril Huda Nuriyanto Nuriyanto, Nuriyanto Nurmala As'ari Nurmanita, Tiara Sevi Nurrahmah, Nugrahini Nurwulan Adi Ismaya Octariadi, Barry Ceasar Panggabean, Nova Zulfani Permatasari, Ajeng Novica Permatasari, Cahyaning Kilang Poppy Rahmatika Primandiri Pradhana, Akmal Hisyam Pramesti, Yasinta Sindy Prastini, Endang Pratama, Aldi Pratama, Budiman Agung Prihantoro, Fajar Sigit Puguh Santoso PUJI LESTARI Puji, Lela Kania Rahsa Purnamasari, Hetty Putra, Hafizhan Pramanda Putri, Alya Amanda Putri, Nurita Nilasari Bunga Kharisma Arifiana Putri, Vita Kusuma Qonita Nur Rohmania Rachmat Wahid Saleh Insani Raffin, Adelonix Regia Rahmat Busono, Milzam Rahmata Illahi, Annisa Rahmawati, Ahti Ramdan, Raka Fahri Randhiki Gusti Perdana, Randhiki Gusti Restu, Dian Maritra Retnani, Christanti Diah Retno Ambarwati Richo Wardana Riki Sukiandra Rina Firliana Rini Indriati Rini Indriati Rini Indriati RIRIS ANDRIATI Risky Aswi R, Risky Rita Dwi Pratiwi Riwayani, Riwayani Riyanto Riyanto Rohman, Oom Rohmawati, Yuyun Romi Siswanto Rr. Forijati -, Rr. Forijati Rufianjani, Esavalin Oktavia Rusandi, D. Rusdiana, Ima Ruswanto, Ruswanto Ryan Marcell Wibisono sadikin, hasan Sadimantara, Muhammad Syukri Safani, Affan Safitri, Julia Salsabilah, Aqila Nur'Afifah Sampurnawati Sampurnawati Samsul Bahri Santi, Indyah Hartami SANTOSO SANTOSO Sari, Ribut Sasongko, Muhammad Zuhdi Sa’diyah, Halimatu Sektio Ririn Setiaji, Wanda Primadita Setiani, Dila Elpin Setiyowati, Wahyu Shandy Arshad Busro Shandy Arshad Busro Cahyono Shandy Arshad Busro Cahyono Busro Sheli, Sheli Shelley Nirmala Istiarini sholehah, aminatus Sidhiq Andriyanto Sihotang, Delita sihotang, Hendarto Sikumbang, Amaludin Simping Yuliatun, Simping Siregar, Alda Cendekia Siswanto, Romi Siswanto, Yoyok Adi Siti Novy Romlah Siti Nuurlaily Rukmana, Siti Nuurlaily Siti Utami Dewi Ningrum Solihah, Mutiara Putri Somanto, Djoko Sony Dwi Kurniawan Sony Sukmawan, Sony Sri Sumiyati Sri Suryani Sri Utami Sri Utaminingsih Sri Wahyuni Sri Wahyuningtyas, Sri Srikalimah, Srikalimah Suciati Suciati Suciati Suciati Sudarmawanto, Sudarmawanto Suhendro, Dodiek Sukawati, Yunita Sukmawan, M.Pd, Dr. Sony Sulastri Sulastri Sulianty, Valerine Sulis Janu Hartati Sulistiono Sumarti Endah Purnamaningsih Maria Margaretha Sumarwiyah Sumarwiyah, Sumarwiyah Sumiyati, Sri Sumiyati Supriatiningtyas, Nurjannah Supriyanto Supriyanto Supriyono Supriyono Sutikno Sutikno Sutrisno Sahari, Sutrisno Syafaat, Mokhammad Syamsuddinnor, Syamsuddinnor Tammam, Aditya Gusti Tanjung, Alfansuri Tanjung, Mansur Taufik Hidayat Tawaka, Goerge Towar Ikbal Tawakal, Goerge Towar Ikbal Teguh Andriyanto Teguh Andriyanto Teguh Andriyanto, Teguh Theo Krisna Amarya Timor Utama Tobing, Victor Maruli Tua L Tobing, Victor Maruli Tua L. Triyanna Widiyaningtyas TUTUT INDAH SULISTIYOWATI Ufairo, Auliya Adilah Ulfia Nila Umi Latifah Uswatun Hasanah Utomo, Rhamdani Widyo Veranita, Yuliawati Veri, Veri Vina Churotul Laili Vivin Nurita Wahid Ibnu Zaman Wahid, Abdul Rakhman Wahyu Tri Handoko Wandasari, Noven Tri Wardah Mazidatur Rohmah, Dewi Wardani, Anita Sari Wardina, Heni Wati, Dewi Rossylia Wibisono, Ryan Marcell Widanto, Fadhal Widayanti, Agnisa Widiarso, Budi Purwo Widodo Widodo Widyaningrum, Dyah Ayu Widyaningsih Widyaningsih, Widyaningsih Widyaningtyas, Shinta Widyaswari, Monica Wijaya, Rizky Permana Wike Agustin Prima Dania Winarsih, Rini Wulandari, Nisa A'rafiyah Tri Yati Yati, Yati Yulianto, Ari Gana Yulingga Nanda Hanief Yunarsih Yuono, Yessy Septiani Yusuf Hendrawan Yusuf Wibisono Zahara, Adam Adilfi Zakur, Yahya Ziyan Zulfa Alim Zulkarnain Zulkarnain