Garuda - Garba Rujukan Digital

SISTEM PEMESANAN TEMPAT DI JANTI PARK DENGAN METODE SINGLE CHANNEL-MULTI PHASE Sakti, Dicky Cahyono; Vulandari, Retno Tri; Widada, Bebas; Kusumaningrum, Andriani
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.v12i1.823

Janti Park is a new water attraction that was released at the year 2020. The place is suitable for family gatherings, often many visitors book places for social gatherings, birthdays and meetings. But in the process there are often obstacles in recapping reservations or ordering a place because the system is only via WA and comes directly to Janti Park. To be able to improve service to visitors in booking place, one solution that can be done is to Design a System Web-Based Place Reservation which has the aim of being able to makes it easier for visitors to book a place and no longer need to come to janti park and makes it easier to record reservations for places that have been booked by visitors. In designing this place ordering system using the Single method Channel – Multi Phase with analysis and implementation stages. At the coding stage using web programming languages (HTML, CSS, PHP and). The final results of this research were carried out using black box testing and user acceptance test.

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

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.

Implementasi Algoritma Floyd Warshall pada Pencarian Lokasi Puskesmas di Kabupaten Karanganyar Tristanto, Bayu; Hasbi, Muhammad; Vulandari, Retno Tri; Widada, Bebas; Kusumaningrum, Andriani
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.v22i1.792

One of the key public health service facilities is Public Health Center (Puskesmas). For new residents, it is very important to have information about the location of the puskesmas or hospital as well as information about the shortest path to the puskesmas or hospital. The size of the region and the volume of traffic present a challenge for people who are unfamiliar with the Karanganyar Regency's routes. The aim of this research is to enable the community to easily locate the health center and to provide access for numerous individuals who require assistance in locating the health center in Karanganyar Regency. Floyd-Warshall research methodology was used in this study to create this system while data collection from Karanganyar District Health Office is then required in this study. The results of this study are in the form of the closest route that is connected to Google Maps, which is information about the location of the health center in Karanganyar Regency which is beneficial for people outside Karanganyar Regency. This study's test findings, which used Floyd Warshall's results approach, further ensure its success in identifying the closest path. The test scenario and the available observations matched 91.6% of the 12 test components, according to the system functionality test. Based on the validity test, it has an average error in predicting the distance from the starting point to the search location of 98%.

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: 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

Implementasi Metode Linear Congruential Generator (LCG) Dalam Game Puzzle Fosil Berbasis Hand Tracking (Studi Kasus: Museum Purba Unit Bukuran) Hidayat, Fahrul; Setiyowati, Setiyowati; Budiadi, Hasman; Kusumaningrum, Andriani
Jurnal Ilmiah SINUS Vol 23, No 2 (2025): Vol. 23 No. 2, Juli 2025
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v23i2.954

In the digital era, the use of interactive technology is increasingly widespread, including in the fields of education and entertainment. This study aims to develop a fossil Puzzle Game based on Hand Tracking at the Museum Purba Unit Bukuran using the Linear Congruential Generator (LCG) method to generate varied and random challenges. The implementation of LCG in this Game is expected to enhance the variation and randomization of Puzzle pieces, providing a more engaging and immersive learning experience for visitors. The Hand Tracking method is chosen to offer a more natural and intuitive interaction, allowing users to interact with the Game using hand gestures without the need for additional devices such as a mouse or keyboard. This technology not only increases user comfort but also adds an interactive element that brings the virtual experience closer to reality. The results of the study show that the use of LCG successfully randomizes Puzzle pieces with great variation, thus increasing the Game's replayability. Additionally, the integration of Hand Tracking in the Game enhances user engagement and satisfaction. Trials conducted on a group of museum visitors showed positive responses, with the majority of participants finding the Game enjoyable and interactive.

Pelatihan dan Pendampingan Guru Dalam Pengembangan Media Pembelajaran Berbasis Teknologi Informasi Siswanti, Sri; Kusumaningrum, Andriani; Setiyowati, Setiyowati; Sandradewi, Kumaratih
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 5 No. 2 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v5i2.2990

Teknologi Informasi adalah istilah umum yang menjelaskan teknologi apa pun yang membantu manusia dalam membuat, mengubah, menyimpan, mengkomunikasikan dan/atau menyebarkan informasi. Pemanfaatan Teknologi Informasi untuk Pengembangan Media Pembelajaran Inovatif bertujuan untuk meningkatkan kemampuan guru di bidang pembuatan media pembelajaran inovatif baik lewat online maupun offline. Metode yang digunakan dalam kegiatan ini adalah pelatihan dan pendampingan. Pelatihan yang dilakukan adalah pelatihan media pembelajaran, editing foto dan pembuatan blog, sehingga guru dalam menyampaikan materi pelajaran tidak hanya dengan tatap muka tetapi juga secara online yaitu lewat blog guru. Pendampingan dilakukan setelah guru mengikuti pelatihan dengan tujuan untuk mendampingi guru dalam menyelesaikan pembuatan blog guru dan media pembelajaran interaktif serta mengisi media pembelajaran tersebut dengan materi yang sudah disiapkan oleh masing-masing guru. Berdasarkan evaluasi hasil kepada 15 orang guru menggunakan kuisioner, maka 95% peserta telah memahami pentingnya media pembelajaran dalam peningkatan kualitas pembelajaran, serta menambah wawasan dibidang teknologi informasi. Guru yang mampu menyelesaikan media pembelajaran dan blog sebanyak 80%, sebagai alat bantu dalam proses belajar mengajar.

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 : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

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

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

MODEL PERAMALAN PENJUALAN MENGGUNAKAN PENDEKATAN WEIGHTED MOVING AVERAGE PADA UMKM KOPI Lylla, Cantika Putri; Vulandari, Retno Tri; Kusumaningrum, Andriani
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 14, No 1 (2026): Jurnal Tikomsin, Vol 14, No.1, April 2026
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v14i1.1077

Sales forecasting plays a critical role in supporting effective inventory management, particularly for small and medium enterprises (SMEs) in the coffee sector, where demand exhibits fluctuating patterns over time. Inaccurate demand estimation may lead to stock shortages, resulting in lost sales opportunities, or overstocking, which increases holding costs and product waste. Therefore, a reliable and accurate forecasting model is required to support optimal inventory planning and operational efficiency. This study aims to develop and implement a sales forecasting model using the Weighted Moving Average (WMA) method and to evaluate its predictive accuracy. The WMA method, as a time series approach, assigns different weights to historical data, emphasizing more recent observations to better capture short-term trends. Historical coffee sales data were utilized as the basis for model development. Forecast accuracy was evaluated using the Mean Absolute Percentage Error (MAPE). The results indicate that the WMA model provides a high level of accuracy, with a forecast value of approximately 22,914 units for the subsequent period and a MAPE value of 0.29% using weight parameters of 0.7, 0.2, and 0.1. This level of accuracy is categorized as very high, demonstrating that the proposed model is effective and reliable for supporting inventory decision-making and improving operational performance in SMEs.

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