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All Journal snimed Media Informatika Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Fortech : Journal of Information Technology Sebatik JTIK (Jurnal Teknik Informatika Kaputama) Arcitech: Journal of Computer Science and Artificial Intelligence Akademika Dedikasi Nusantara
Sukma Puspitorini
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Computer Science & IT Decision Sciences, Operations Research & Management

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Sales and Stock Purchase Prediction System Using Trend Moment Method and FIS Tsukamoto Firmansyah, Riko; Puspitorini, Sukma; Pariyadi, Pariyadi; Syah, Tamrin
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 1 No. 1 (2021): June 2021
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.661 KB) | DOI: 10.29240/arcitech.v1i1.3057

Abstract

The purpose of this research is to build decisions support model to predict sales and stock purchase using Trend Moment method and Tsukamoto Fuzzy Inference System. Trend moment is a simple statistical-based forecasting method widely used to forecast sales in a company using historical data. Tsukamoto is a fuzzy inference system that uses monotonic reasoning to determine output. The object of this research is sales and purchase data for Ice Cream X Depo Jambi products from August 2019 to April 2020. The study aims to build a decision support model web-based to predict sales and purchases of ice cream X stock at Jambi depots. Fuzzy Tsukamoto in this study will be used to predict product stock purchases after predicting future sales using trend moments. The system input is in product data form, data of ice cream sales history, and data of ice cream stock purchase. Sales history data will be use to calculate slope and constanta that will predict future sales trends. Stocks  purchase history data along with sales trend prediction value will be use to calculate the membership degree of fuzzy variables, perform the aggregation process on fuzzy rules, and then carry out the defuzzification process to produce output prediction values for future ice cream stock purchases. from the prediction model implemented in the decision support system, sales prediction data has an accuracy of 71% while stock purchase predictions have an accuracy of 85%.
SISTEM PENDUKUNG KEPUTUSAN DENGAN FUZZY ASSOCIATIVE MEMORY UNTUK MENENTUKAN MATAKULIAH PILIHAN Sukma Puspitorini
JURNAL AKADEMIKA 93-121
Publisher : LP2M Universitas Nurdin Hamzah Jambi

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Abstract

Sistem Pendukung Keputusan berbasis komputer (Computer Based Decision Support system), adalah suatu sistem berbasis komputer yang dirancang untuk meningkatkan efektivitas pengambil keputusan dalam memecahkan masalah. Dalam logika fuzzy, salah satu metode yang dapat digunakan dalam menentukan pengambilan keputusan adalah Fuzzy Associative Memory. Sekumpulan matriks FAM akan digunakan untuk menentukan derajat keanggotaan outputnya. Dalam penelitian ini, matriks FAM yang diperoleh akan digunakan untuk menentukan derajat keanggotaan dari nilai mahasiswa terhadap masing-masing matakuliah pilihan. Dengan menggunakan defuzzy winner take all, nilai derajat keanggotaan output matakuliah pilihan terbesar akan menjadi solusi matakuliah pilihan mana yang akan dipilih. Aplikasi sistem pendukung keputusan ini akan memberikan saran sebagai bahan pertimbangan bagi mahasiswa dalam melakukan pemilihan terhadap mata kuliah pilihan yang akan diambil, akan tetapi keputusan akhir pengambilan mata kuliah pilihan tetap mahasiswa sendiri yang menentukan.
RANCANG BANGUN APLIKASI PENENTUAN TINGKAT RISIKO PENYAKIT GASTROESOFAGEAL REFLUX DISEASE (GERD) BERDASARKAN POLA MAKAN, GAYA HIDUP, DAN STATUS GIZI DENGAN POHON KEPUTUSAN KONSEP ENTROPY Hambali Furnawan; Sukma Puspitorini
JURNAL AKADEMIKA 28-34
Publisher : LP2M Universitas Nurdin Hamzah Jambi

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Abstract

Gastroesophageal Reflux Disease (GERD) is a gastrointestinal disease in which oesophageal abnormalities that cause gastric fluid to flow back (reflux) into the esophagus and cause heartburn symptoms typical of burning in the chest, sometimes accompanied by pain. GERD can be experienced by any person at any time and in intensity which often can cause the inflammation of the esophagus esofagistis (esophagus) which can lead to complications such as esophageal stricture, Barrett's esophagus, and esophageal cancer. Lifestyle factors and good eating habits can be the cause of GERD. This GERD disease risk level determination aplication programme design is made to determine the extent of a person's risk of experiencing GERD seen lifestyle factors, diet, and nutritional status as well. Data obtained from questionnaires given to patient. The average point on each variable for lifestyle factors and diet then categorized. While the nutritional status is obtained by finding a body mass index (BMI) of the patient. Of the categories obtained on each factor, the classification rule set (classification rule) which will then be represented in the form of a decision tree (decision tree). The results obtained from a search result is a tree-level person's risk of disease GERD.
Predicting Early Childhood Readiness to Enter Elementary School Using the Naive Bayes Classification Puspitorini, Sukma; Kahar, Novhirtamely; Kartika, Ikah
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 4 No. 2 (2024): December 2024
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v4i2.11635

Abstract

This study aims to examine the readiness and maturity of early childhood in entering elementary school using the Naïve Bayes method. This analysis involves variables such as gender, age, aspects of physical-motor, cognitive, social-emotional development, and literacy skills which include reading, writing, arithmetic, and children's level of independence. The readiness category is classified into two classes, namely "ready" and "not ready". This prediction model is designed to provide a comprehensive understanding of the factors that affect the classification results, so that the evaluation process can be carried out in a transparent, objective, and data-driven manner. This research is expected to be a reference for other educational institutions in implementing a similar model to evaluate student readiness systematically. By adjusting variables and data according to local needs, this model has the potential to support more accurate and standardized decision-making, as well as improve the quality of early childhood preparation in entering formal education. The results show that the Naïve Bayes method is able to achieve an accuracy level of 93.33%, confirming its effectiveness in identifying early childhood readiness optimally.
Pemanfaatan Sistem Informasi Layanan Pendaftaran Pelanggan Grapari Telkomsel Telanai Jambi Berbasis Web -, Novhirtamely Kahar; Sukma Puspitorini; Fattachul Huda Aminuddin; Anjel Brilian Iswandi
Dedikasi Nusantara: Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2025): Transformasi Digital dalam Pelayanan Publik dan Keagamaan
Publisher : IndoCompt Publisher

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Abstract

Perkembangan teknologi informasi saat ini sangat pesat, namun masih banyak masyarakat yang belum memanfaatkan teknologi tersebut untuk mendukung aktivitas sehari-hari, termasuk dalam pelayanan publik. Proses pendaftaran pelanggan di Grapari Telkomsel Telanai Jambi masih dilakukan secara manual, menyebabkan antrean panjang dan memakan waktu. Tujuan utama kegiatan pengabdian kepada masyarakat ini adalah untuk mengembangkan dan mengimplementasikan sistem informasi layanan pendaftaran pelanggan berbasis web guna meningkatkan efisiensi dan kualitas pelayanan di Grapari Telkomsel Telanai Jambi. Kegiatan ini dilaksanakan dengan metode pengembangan sistem informasi berbasis web, dimulai dari analisis kebutuhan, perancangan sistem, implementasi, hingga pengujian. Sistem dibangun dengan menggunakan XAMPP sebagai server lokal dan PHPMyAdmin untuk manajemen basis data. Hasil dari kegiatan ini adalah sebuah sistem informasi layanan pendaftaran pelanggan berbasis web yang berhasil diimplementasikan. Model persoalan pada sistem ini menghasilkan isi data pelanggan yang telah terdaftar, dapat membantu proses layanan sehingga menghasilkan laporan yang memudahkan pihak Admin Grapari Telkomsel telanai Jambi menggunakannya sehingga aplikasi ini sangat layak digunakan pada masyarakat khususnya pelanggan saat ini. Hasil pengujian sistem aplikasi ini yang diperoleh dari analisis kelayakan dari pengguna melalui kuisioner, menunjukkan bahwa Penggunaan aplikasi ini layak digunakan dengan tingkat kelayakan 95%. Manfaat utama yang diperoleh adalah kemudahan dan kecepatan dalam proses pendaftaran pelanggan, serta mengurangi antrean di Grapari Telkomsel Telanai Jambi. Sistem informasi ini memberikan kontribusi signifikan dalam meningkatkan kualitas pelayanan publik di Grapari Telkomsel Telanai Jambi melalui keterlibatan masyarakat dalam memanfaatkan teknologi untuk proses pendaftaran yang lebih efisien.
Co-Authors -, Novhirtamely Kahar Ahmad Ripaii Akbar, Fajri Kurnia Al Amin Anjel Brilian Iswandi Fattachul Huda Aminuddin Fery Purnama, Fery Fikri Al Hakim Firmansyah, Riko Hambali Furnawan Kartika, Ikah Kurnia Akbar, Fajri Lia Rosmalia Linda Rosita Nanny Novhirtamely Kahar Pariyadi Reny Wahyuning Astuti Reny Wahyuning Astuti Reny Wahyuning Astuti, Reny Wahyuning Serly Afriska Sihotang Sri Kusumadewi Tamrin Syah, Tamrin Wahyuning Astuti, Reny