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All Journal Jurnal Ilmiah Informatika Komputer Semantik Techno.Com: Jurnal Teknologi Informasi Jurnal Transformatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) POSITIF Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pilar Nusa Mandiri Indonesian Journal of Applied Statistics Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JURTEKSI JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Jurnal Ilmiah Sinus Jurnal Abdidas Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Jurnal Pengabdian kepada Masyarakat Nusantara Indonesian Journal of Mathematics and Natural Science Education Jurnal Public Relations (J-PR) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Edukasia: Jurnal Pendidikan dan Pembelajaran Abdi Makarti International Journal of Trends in Mathematics Education Research (IJTMER) SATIN - Sains dan Teknologi Informasi Jurnal Pengabdian Masyarakat Ilmu Komputer The Indonesian Journal of General Medicine Indonesian Journal of Mathematics and Natural Science Education Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP)
Sri Siswanti
STMIK Sinar Nusantara Surakarta
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Honeypot-as-a-Service dengan Kubernetes Cluster Rahmat Purwoko; Dimas Febriyan Priambodo; Ghiffari Adhe Permana; Wawan Laksito Yuly Saptomo; Sri Siswanti; Muhammad Hasbi
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 9, No 2 (2023): Volume 9 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v9i2.62076

Abstract

Honeypot merupakan salah satu strategi yang digunakan untuk melindungi jaringan dari serangan siber. Honeypot digunakan untuk menarik penyerang agar menyerang honeypot tersebut daripada perangkat-perangkat jaringan. Namun, penggunaan honeypot masih jarang terjadi di tingkat korporat maupun individu karena membutuhkan tenaga profesional dan infrastruktur khusus untuk mengelolanya selama implementasi. Berdasarkan permasalahan ini, peneliti mengusulkan solusi Software-as-a-Service  (SaaS) yang disebut Honeypot-as-a-Service  (HaaS). HaaS adalah layanan honeypot berbasis cloud yang dikelola oleh orkestrasi kontainer Kubernetes Cluster. Penggunaan Kubernetes Cluster dirancang untuk mengotomatiskan konstruksi, penjadwalan, pemeliharaan, dan penghapusan honeypot berkontainer. Otomatisasi ini dimaksudkan untuk membantu pelanggan yang ingin menggunakan sistem pertahanan berbasis honeypot dalam jaringan mereka tanpa harus menjalankan honeypot mereka sendiri. Pengguna dapat mendaftar akun dan mengonfigurasi honeypot menggunakan dashboard yang langsung terhubung ke cloud honeypot. Sistem ini sedang dikembangkan di lingkungan pusat data Departemen Keamanan Siber dari Politeknik Siber dan Sandi Negara, yang dikelola dengan manajemen virtualisasi Proxmox Virtual Environment. Komponen-komponen dari sistem HaaS terdiri dari honeypot di Kubernetes Cluster, HaaS-proxy, dan HaaS Dashboard. Sistem yang telah dibuat kemudian diuji availability, performance, functionality, and scenario. Hasil evaluasi sistem menunjukkan bahwa sistem HaaS membutuhkan pengembangan lebih lanjut. Meskipun ketersediaan dan performa sistem HaaS telah memenuhi kriteria layanan berbasis cloud, namun fungsionalitas sistem tidak memenuhi standar layanan SaaS secara umum. Namun, honeypot dibangun untuk memenuhi tujuan honeypot dalam menarik penyerang.
APPLICATION OF THE APRIORI ALGORITHM TO DETERMINE THE COMBINATION OF POVERTY INDICATORS Siswanti, Sri; Vulandari, Retno Tri; Kusumaningrum, Andriani; Setiyowati, Setiyowati
Jurnal Pilar Nusa Mandiri Vol 19 No 1 (2023): 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.v19i1.4161

Abstract

Poverty is a society that has not been solved until now. The decline in poverty in Laweyan District from 2000 to 2013 was 5.71%, among the five lowest in the reduction in the percentage of poverty in Central Java Province. The problem of poverty is very complex, and the differences in regional characteristics, as well as the techniques used, also influence the indicators of the causes of poverty and the formulation of policies for poverty alleviation. This study uses Principal Component Analysis as part of data preprocessing, followed by applying association rules with the Apriori Algorithm to explore the relationship pattern of poverty indicators. Based on the research that has been conducted on the poverty dataset, which consists of 46 attributes, it is found that the attributes that have passed the preprocessing data are six attributes, namely the Poor Population, ADHB in the Communication Sector, ADHB in the Mining and Excavation Sector, ADHB in the Agriculture and Food Crops Sector, ADHB in the Plantation Sector. and unemployment. These six attributes are transformed into Ascending, Fixed, and Descending categorical data. The fuzzification process for the increase and decrease categories uses the shoulder-type triangle membership function. Applying the Apriori Algorithm to the poverty dataset with a minimum support of 0.4 and a minimum confidence of 0.8 produces 38 rules that show the relationship between indicators and poverty and 134 rules that show the relationship pattern between indicators.
IMPLEMENTATION OF ARMA MODEL FOR BENGAWAN SOLO RIVER WATER LEVEL AT JURUG MONITORING POST Siswanti, Sri; Vulandari, Retno Tri; Setiyowati, Setiyowati
Jurnal Pilar Nusa Mandiri Vol. 20 No. 1 (2024): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v20i1.5004

Abstract

The amount of annual rainfall in the Bengawan Solo watershed causes high water flow (water discharge) in several rivers. In addition, high flow rates significantly increased the water surface level at some observation sites. The Bengawan Solo River burst its banks in November 2016, causing flooding in several areas in eastern Solo. At that time, the river stage at the Jurug monitoring post passed ten. Therefore, a flood early warning system would be useful for predicting water levels in this context. Every day, one post on the Bengawan Solo River measures the water level. The time series data used in this study is the water level. Autoregressive Moving Average (ARMA) is a predictive method for measuring time set data. The assumption of homoscedasticity or constant error variance is used in this model. However, the study will use the ARMA model if the variance changes randomly. The study used 60 pieces of data from January to February 2018. This study can directly use ARMA because the data results are stationary based on ADF value 0.0036. After the first pause, the ACF and PACF are disconnected based on the correlogram pattern. This shows that the water level of the Bengawan Solo River in that period can appear on the Autoregressive Moving Average with orders p = 1 and q = 1 ARMA(1,1). Thus, the total average residue is 0.0668384, so the short error is 6.68384%.
IMPLEMENTASI IMPLEMENTASI METODE BELLMAN FORD UNTUK PENCARIAN PUSKESMAS DI KABUPATEN KARANGANYAR Siswanti, Sri; Febriyanti, Renita; Vulandari, Retno Tri
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 8 No 1 (2022): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v8i1.1308

Abstract

Kabupaten Karanganyar memiliki 21 Puskesmas. Namun, minimnya informasi titik lokasi membuat masyarakat kesulitan mencari Puskesmas terdekat yang ingin dituju. Penyampaian informasi secara cepat dan tepat sangat dibutuhkan dalam hal ini. Tujuan dari penelitian ini adalah pembuatan aplikasi pencarian rute terpendek Puskesmas di Kabupaten Karanganyar. Metode yang digunakan dalam penelitian ini adalah metode Bellman Ford. Dalam implementasi ini digunakan bahasa pemrograman PHP, MySQL Server, Web, Domain dan hosting untuk membangun sistem. Hasil yang diperoleh dari penelitian ini adalah rute terdekat menuju lokasi tujuan pada Google Map, informasi lokasi Puskesmas dan simpul-simpul yang tersebar di Kabupaten Karanganyar.
Implementasi Metode Forward Chaining untuk Mendeteksi Defisensi Vitamin Pada Manusia Kurniyanti, Asshiva Fitricia; Siswanti, Sri; Setiyowati, Setiyowati
Jurnal Ilmiah SINUS Vol 22, No 1 (2024): Volume 22 No. 1, Januari 2024
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v22i1.807

Abstract

There are many vitamins such as vitamins A, B, B1, B2, B3, B5, B6, B7, B9, B12, C, D, E, K and various symptoms that are almost similar, making it difficult to identify independently. The challenges associated with vitamin deficiency disorders include long wait times at the doctor's office or during limited working hours, as well as expensive charges. The purpose of the research is to enable the general population to identify and treat vitamin deficiencies in the body by using symptoms as a guide. The research will be conducted online to save costs and provide accessibility from anywhere at any time. In the study, there were 40 symptoms in 14 vitamins which were then applied according to the concept of Forward chaining method, namely IF-THEN rule. When a user enters answers that comply with the rules, the expert system consults with them to diagnose the problem. If the user enters answers that do not conflict with the rules, the system will display the diagnostic results, which include information and remedies for vitamin deficiencies. While literature reviews and nutritionist interviews were used as the data collection strategy, Web-based system implementation used PHP programming language, and MySQL as database media. After conducting validation tests between the system's output and expert data, the system achieved an 87.5% calculation result. It is clear from the test results that this system is operating effectively and appropriately.    
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF MATA PELAJARAN MATEMATIKA Waskitho, Anggit Widhi; Siswanti, Sri; Raharja, Bayu Dwi; Teguh Susyanto; Irawati, Tri; Wijayanto, Hendro; Vulandari, Retno Tri; Harjanto, Sri
Jurnal Pengabdian Masyarakat Ilmu Komputer Vol. 1 No. 2 (2024): Mei
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpmik.v1i2.788

Abstract

Media pembelajaran interaktif mata pelajaran Matematika dengan menggunakan Adobe Flash CS 6 ini berisi materi tentang bangun-bangun yang termasuk dalam kesebangunan dan kongruen. Tujuan pengabdian masyarakat ini adalah menciptakan sebuah aplikasi media pembelajaran interaktif mata pelajaran Matematika materi kesebangunan dan kongruen dengan menggunakan Adobe Flash CS6 di SMP Negeri 24 Surakarta. Materi kesebangunan dan kongruen merupakan materi pelajaran yang membutuhkan banyak contoh dan pratikum dalam proses belajar, jika hanya menggunakan buku yang bersifat monoton, membuat siswa sulit untuk membayangkan apa yang dimaksud soal dan latihan. Hasil berupa aplikasi media pembelajaran interaktif mata pelajaran Matematika materi kesebangunan dan kongruen dengan menggunakan Adobe Flash CS6 yang disertai dengan latihan soal yang dapat digunakan sebagai alat bantu pengajar dalam pembelajaran ataupun digunakan secara mandiri oleh pengguna.
IMPLEMENTATION OF TOPSIS AND SAW METHODS FOR THE SELECTION OF THE BEST HOTEL Kristanto, Samuel Widi; Siswanti, Sri; Setiyowati, Setiyowati; Kusumaningrum, andriani
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 10, No 4 (2024): September 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i4.3183

Abstract

Abstract: The city of Surakarta is one of the cities that is busy with local and foreign tourists because there are various kinds of interesting cultural tourism. The large number of hotels with many services and facilities makes tourists confused in choosing a hotel, so prospective hotel guests need a long time to choose the best hotel according to their desired criteria. The aim of this research is to create a tool for prospective hotel guests in making decisions on hotel selection recommendations using the TOPSIS and SAW methods. This research uses 8 hotel data points in Laweyan District, Surakarta, and hotel data obtained from the Tourism Office. The results of the McCall Test with 5 indicators, namely accuracy, reliability, efficiency, integrity, and usability, average 86%, so this system is categorized as very good. Keywords: hotel selection;  TOPSIS; SAW; decision supporter system  Abstrak: Kota Surakarta menjadi salah satu kota yang  ramai dikunjungi wisatawan lokal maupun mancanegara karena terdapat berbagai macam wisata budaya yang menarik. Banyaknya hotel dengan pelayanan dan fasilitas yang banyak membuat wisatawan kebingungan dalam memilih hotel, sehingga calon tamu hotel memerlukan waktu yang lama untuk memilih hotel terbaik sesuai kriteria yang diinginkan.  Tujuan dari penelitian ini adalah membuat suatu alat bantu bagi calon tamu hotel dalam pengambilan keputusan rekomendasi pemilihan hotel  menggunakan metode TOPSIS dan SAW. Penelitian ini menggunakan 10 titik data hotel yang ada di Kecamatan Laweyan Surakarta dan data hotel yang diperoleh dari Dinas Pariwisata. Hasil Uji McCall dengan 5 indikator yaitu akurasi, reliabilitas, efisiensi, integritas, dan kegunaan rata-rata 86%, maka sistem ini dikategorikan sangat baik. Kata kunci: pemilihan hotel; TOPSIS; SAW; sistem penunjang keputusan
Penerapan Algoritma Fuzzy Time Series Average-Based untuk Memprediksi Penjualan Kelapa Retno Tri Vulandari; Sri Siswanti; Dwi Tri Laksono
Indonesian Journal of Mathematics and Natural Science Education Vol. 1 No. 2 (2020): Indonesian Journal of Mathematics and Natural Science Education
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan, UIN Kiai Haji Achmad Siddiq Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35719/mass.v1i2.31

Abstract

UD Bambang Kelapa adalah salah satu bisnis di Solo yang bergerak dalam penyediaan kelapa parutuntuk rumah makan dan beberapa industri kuliner yang ada di wilayah Solo. Pada operasinya UD Bambangmembawa kelapa dari luar setiap bulan untuk memenuhi kebutuhan semua pelanggannya. UD Bambangsering mengalami kesulitan dalam menentukan jumlah kelapa yang dibutuhkan setiap bulan, oleh karenaitu UDBambang membutuhkan sistem yang dapat digunakan untuk memprediksi permintaan kelapa dalambeberapa bulan terakhir. Berbasis fuzzy time series average adalah metode prediksi yang menggunakanprinsip fuzzy dan memiliki akurasi yang cukup baik untuk peramalan jangka pendek, sehingga metode inisesuai untuk meramalkan kebutuhan penjualan kelapa. Data yang digunakan dalam penelitian ini adalahdata kebutuhan penjualan kelapa dalam setahun terakhir, 2015 - 2016 dalam hal ini diperoleh dari UDBambang Kelapa. Hasil yang diperoleh dalam penelitian ini adalah akurasi algotima berbasis fuzzy timeseries rata-rata untuk prediksi kebutuhan penjualan kelapa dengan pengujian data pada tahun 2016 sebanyak12 data yang diuji dengan mean absolute error (MAPE) adalah 7,82% dan termasuk dalam kategori baikkriteria. Sedangkan hasil pengujian fungsional menggunakan metode Black Box Testing, diperoleh bahwasemua komponen sistem telah diuji dan sesuai dengan yang diharapkan
A Comprehensive Systematic Review of Depression and Anxiety in Adults with Pyoderma Gangrenosum Isnawati; Sri Siswanti; Masrida Rezky Ritonga
The Indonesian Journal of General Medicine Vol. 6 No. 1 (2024): The Indonesian Journal of General Medicine
Publisher : International Medical Journal Corp. Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70070/bq45zj06

Abstract

Background: Pyoderma gangrenosum (PG) is a rare, chronic inflammatory skin disease characterized by painful, necrotic ulcers that frequently lead to disfiguring scars and significantly impact patients’ quality of life. This interplay between PG and mental health issues like anxiety and depression underscores the need for holistic approaches to manage both the physical and psychological challenges faced by PG patients. Methods: This systematic review adhered to the PRISMA 2020 guidelines, focusing exclusively on full-text articles published in English between 2015 and 2024. Result: A total of over 600 publications were initially identified through the database search. Following a rigorous three-stage screening process, eight studies were selected for comprehensive analysis. These studies were critically examined to provide an in-depth evaluation of depression and anxiety among adults with pyoderma gangrenosum. Conclusion: Pyoderma gangrenosum, a chronic autoimmune disorder, significantly impacts patients' mental health due to painful ulcers, visible lesions, and social isolation. Untreated depression can exacerbate pain perceptions and reduce treatment satisfaction. Healthcare providers must screen for and address mental health conditions in PG patients, utilizing psychological support and counseling to address both physical and mental health issues.
The Application of Fuzzy Time Series Method for Web-Based Prediction of Household Chemical Product Sales Stock Rangga, Muhammad Rangga Alvin Pratama; Sri Siswanti
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.565

Abstract

The seasonal and trend factors of the market demand greatly influence the sales of household chemical products. Therefore, PT. XYZ company requires an accurate sales prediction system to optimize production and inventory. This research aims to develop a web-based sales prediction system for household chemical products using fuzzy time series method. This method considers the factors that influence sales and generates a prediction model that can assist the company in decision-making. This method allows the use of uncertain and unstructured variables in the prediction. The research collected historical sales data of household chemical products from January to December 2023 through interviews, observations, and literature studies. The system was designed using a structured approach and PHP programming language. The Fuzzy Time Series method was used for decision-making. The accuracy of the Fuzzy Time Series method for sales data from January to December 2020 was calculated through program simulation and manual methods, resulting in an accuracy rate of 13.71%. The application provides information on the sales of each product, with the hope that users can reduce the accumulation of stock every month.
Co-Authors Abiyu Eka Darmana Agik Damai Istanto Agus Nugroho Ahmad Fahrurohim Ahmad Muhariya Alvareza Anggada Tama Andriani Kusumaningrum Andriani Kusumaningrum Andriani Kusumaningrum KW Anggiratih, Endang Ari Satria Perdhana Arianto, Satria Rizki Arum Sari Asdin Wahyu Pamungkas Bagus Prasetyo Banowati, Lies Bayu Aji Setiyawan Bebas Widada Bebas Widada Candra, Abel Ce Gunawan Cicik Sulastri Dedie Citra Mahendra Didik Nugroho Dimas Febriyan Priambodo Din Eksanti W Dwi Tri Laksono Erfan Zaenuddin Faizal Gunawan Fajar Mitasari Fatwa Lingga Wrehatnala Febriyanti, Renita Fitri Hanung Wibowo Ghiffari Adhe Permana Hasman Budiadi Hendro Wijayanto Ibrahim Rizki Ibrahim Rusydi ISNAWATI Istiqomah Wiwin Fatmawati Iwan Ady Prabowo Khoirul Huda Kristanto, Samuel Widi Kumaratih Sandradewi Kurniyanti, Asshiva Fitricia Kustanto, Kustanto Kusumaningrum, Andriani Kusumawijaya, Andriani Kusumaningrum Lilis Aminawati Lilis Wulandari Madiyono Madiyono Margaretha, Rita Masrida Rezky Ritonga Mita Purwati Muhammad Alwi Hasan Muhammad Hasbi Muhammad Hasbi Muhammad Hasbi Muhammad Muchlasin Mustiraya, Raya Naufal Hafiz Novia Titis Sulistyani Nuur Rochman Naafian Obrina Candra Briliyant Oktapiani, Juwita paulus harsadi Perdana, Ferdian Pratiwi, Ellya Prihantono, Johanes Purnomo, Albert Rachmadi Putri, Fairuz Amani Rachmat Basuki Wicaksono Raharja, Bayu Dwi Rahmat Purwoko Rangga, Muhammad Rangga Alvin Pratama Retno Dwi Andari Retno Tri Vulandari Risma Meike Eko Wati Rosmawati Rosmawati Saly Kurnia Octaviani Sanjai Kurniawan Saptomo, Wawan Laksito Yuly Setiyowati Setiyowati Setiyowati Setiyowati Setiyowati Setiyowati Setiyowati Setiyowati Siswanti Sri Hariyati Fitriasih Sri Harjanto Sri Harjanto Sri Harjanto Sri Surati Suharyanto H. Soro Suwarno Suwarno Teguh Susyanto Tri Irawati Tri Irawati, Tri Tubagus Agni Assiddiq Athoillah Vindusari, Maria Kleovita Putri Waskitho, Anggit Widhi Wawan Laksito YS Wawan Laksito Yuli Saptomo Wawan Laksito Yuly Saptomo Wawan Laksito Yuly Saptomo Wijayanto, Hendro Yohan Alief Rizaldy Yopi Kristiawan