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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Informatika Jurnal Teknik Komputer AMIK BSI Paradigma Bina Insani ICT Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Information System for Educators and Professionals : Journal of Information System JIEET (Journal of Information Engineering and Educational Technology) Informatics for Educators and Professional : Journal of Informatics Jurnal Teknik Informatika UNIKA Santo Thomas Journal of Information System, Applied, Management, Accounting and Research Journal of Computer System and Informatics (JoSYC) Jurnal Kajian Ilmiah Jurnal Sistem Informasi Bulletin of Computer Science Research Journal of Students‘ Research in Computer Science (JSRCS) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System
Entin Sutinah, Entin
Universitas Bina Sarana Informatika
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences Other

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Penerapan Algoritma Decision Tree Untuk Memprediksi Pengelolaan Inventaris Sarana Pembelajaran Kampus Martini, Martini; Nani Agustina; Entin Sutinah
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.889

Abstract

UBSI as an educational institution that has learning support facilities must be able to manage campus inventory effectively. This study aims to determine the management of asset management that needs to be done, both in the form of routine maintenance and updating of goods. The UBSI Jatiwaringin branch campus only makes reports on the condition of inventory items, so it cannot determine whether the reported inventory data is updated or repaired, so far it is not known which items are prioritized based on their level of importance. The data will then be followed up by the main campus to check the inventory data report. The method used to determine inventory predictions is the Decision Tree Algorithm which has priority, location, condition, frequency, and prediction attributes. As targets in the decision tree are prediction attributes that have maintenance or renewal classes. Determination of inventory data predictions by calculating the entropy, gain, gain info, and gain ratio values ??of each attribute and resulting in the Priority attribute being the root node in the formed decision tree. This indicates that the priority attribute has a strong influence in determining whether an item is included in the maintenance or renewal class. Based on testing results using RapidMiner software with the K-Fold Cross Validation method, the Decision Tree algorithm can generate a decision model with an average accuracy of 86.67% in campus inventory management. The results of this study are expected to be useful for Jatiwaringin Campus administrators to conduct initial inspections without waiting for repairs from the main campus.
Sistem Pakar Berbasis Whatsapp Bot Dengan Metode Forward Chaining Untuk Diagnosis Dini Gangguan Mental Pada Perkembangan Anak Rayhan Fadhilah; Muhammad Fahri Revansa; Giffari Ahmad Fakhriza; Entin Sutinah; Aryo Tunjung Kusumo
Journal of Students‘ Research in Computer Science Vol. 6 No. 2 (2025): November 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/4b27ra56

Abstract

Mental disorders in children can hinder their development if not detected early. Limited public awareness and a shortage of professionals often lead to undiagnosed cases. This study developed an expert system based on a WhatsApp Bot using the Forward Chaining method to support early diagnosis of children's mental disorders. Built with Node.js and MySQL, the system can identify seven types of disorders: ADHD, anxiety, depression, autism, OCD, eating disorders, and PTSD. Black box testing showed the system functions well and provides accurate results. It is expected to assist parents and educators in early detection and awareness of mental health issues in children.
Sistem Informasi Penjualan Harian Berbasis Web sebagai Solusi Digitalisasi Pencatatan Keuangan UMKM Budiman Budiman; Entin Sutinah; Nani Agustina
Journal of Students‘ Research in Computer Science Vol. 7 No. 1 (2026): Mei 2026
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/m9nyth88

Abstract

Micro, Small, and Medium Enterprises (MSMEs) often face challenges in managing transaction records and financial reports manually, which can lead to recording errors and reduced operational efficiency. This study aims to develop a web-based daily sales information system to manage sales transactions, product data, income, expenses, and profit-loss reports in an integrated manner. The system was developed using the Waterfall method and web-based technology. The results show that the system can assist MSMEs in recording transactions digitally, improving data accuracy, accelerating financial report preparation, and supporting more effective and efficient business decision-making.
Data Mining Untuk Klasifikasi Tamu Hotel Dengan Algoritma Apriori Entin Sutinah; Nani Agustina; Randi Ashar Asmoro
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 7 No. 1 (2019): Maret 2019
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v7i1.1653

Abstract

Abstract Data from hotel activity is one of the assets of a hotel. The amount of data produced will increase with the day-to-day operational activities,. The large amount of data will be a problem if the hotel cannot process it. In this study, we will implement a priori algorithm to classify guest record data in Delua Hotel in Jakarta based on trends that arise from a category at a certain time in the process of checking in at Delua Hotels on every day, week, and month. Guest record data that is processed using itemset room type Superior Queen/Twin, Deluxe Room, Holywood Room, and Executive Suite. The results of this study are in the form of data used to predict the available rooms when preparing a room reservation and the results of this algorithm can also be used as a reference for the hotel in preparing the reservation room which is most often attracted by hotel visitors. Keywords: Apriori Algorithm, hotel management, Association Rule Abstrak Data yang dimiliki suatu hotel merupakan salah satu aset dari suatu hotel tersebut. Dengan adanya kegiatan operasional sehari-hari akan semakin memperbanyak jumlah data yang dihasilkan. Jumlah data yang begitu besar justru akan menjadi masalah bila hotel tersebut tidak bisa mengolahnya. Dalam penelitian ini, akan mengimplementasikan algoritma apriori untuk mengklasifikasikan data record guest yang ada di Delua Hotel Jakarta berdasarkan kecenderungan yang muncul dari suatu kategori pada kurun waktu tertentu pada proses chek in pada Delua Hotel pada setiap hari, minggu, bulannya. Data record guest yang diolah menggunakan itemset room type Superior Queen/Twin, Deluxe Room, Holywood Room, dan Executive Suite. Hasil dari penelitian ini berupa data yang digunakan untuk memprediksikan room yang tersedia saat mempersiapkan reservation room dan hasil dari algoritma ini juga dapat dijadikan rujukan bagi pihak hotel dalam mempersiapkan reservation room yang paling sering di minati oleh pengunjung hotel. Kata kunci: Algototma Apriori, manajemen hotel, aturan asosiasi
Co-Authors Achmad Baroqah Pohan Andi Setiawan Andre Gusti Hermawan Anwar , Rian Septian Aryo Tunjung Kusumo Asmoro, Randi Ashar Azima, Gustiyasyah Nurul Bangkit Anugrah Putra Barkah, Novalia Budiman Budiman Eni Heni H Eni Heni Hermaliani Giffari Ahmad Fakhriza Gustiyasyah Nurul Azima Ibnu Alfarobi Imaduddin, Encep Fahmi Khoirun Nisa Lina Rosina Limbong Martini Martini Martini Martini Martini Mega Priyanto Moch.Arif Wicaksono Muhammad Fahri Revansa Nani Agustina Nico Hermanto Novalia Barkah Odilia Rosdiana Simamora Randi Ashar Asmoro Rayhan Fadhilah Redi Nurhidayat Reza Trimahardhika Rian Septian Anwar Riza Syahrial Rizal Gustiar Sandra Regina Syarif Hidayatulloh Sya’Roni