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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknoin JURNAL SISTEM INFORMASI BISNIS Jurnal Buana Informatika Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Algoritma Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) Journal of Applied Geospatial Information Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Information System for Educators and Professionals : Journal of Information System SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) GUIDENA: Jurnal Ilmu Pendidikan, Psikologi, Bimbingan dan Konseling Indonesian Journal of Computing and Modeling Jurnal Informatika jurnal teknik informatika dan sistem informasi Abdimasku : Jurnal Pengabdian Masyarakat Aiti: Jurnal Teknologi Informasi Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknik Informatika (JUTIF) JOINTER : Journal of Informatics Engineering Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal INFOTEL
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Analisis High Availability Pada Sistem Berbasis Teknologi Oracle Data Guard (Studi Kasus SIA-SAT UKSW) Hartomo, Kristoko Dwi; P, T. Arie Setiawan; Pratama, Sandy
Jurnal Buana Informatika Jurnal Buana Informatika Volume 1 Nomor 1 Januari 2010
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (545.698 KB)

Abstract

Abstract. High Availability on Oracle Data Guard-based System (Case Study: SIA-SAT UKSW). SIA-SAT is a subject administration system for UKSW collegian. Database SIA-SAT is backuped by autobackup system, and backup file sent directly to backup server at another building. Until these days, database SIA-SAT system still does not have a secondary database (backup) which can replace main database when failure is happening on main database.Oracle Data Guard System is a technology researched by Oracle to increase availability level on Oracle Database server. Every transaction is saved on main server and duplicated for standby database server. The advantages point of technology is standby database which indirectly becomes a backup server, and standby database can be used for replacing main database.The result of this research is the technology of Oracle Data Guard can increase availability level for a system Oracle Database. This condition can happen because standby database always duplicates data and is ready to replace primary database.Keywords: availability, data guard, database distributionAbstrak. SIA-SAT adalah sebuah sistem administrasi mata kuliah untuk mahasiswa. Basis data SIA-SAT dicadangkan oleh sistem cadang otomatis, dan berkas cadangan tersebut dikirimkan secara langsung ke server cadangan yang terletak di gedung lain. Hingga saat ini, sistem basis data SIA-SAT masih belum memiliki basis data sekunder (cadangan) yang dapat menggantikan basis data utama jika kegagalan terjadi pada basis data utama. Oracle Data Guard System adalah sebuah teknologi yang diteliti oleh Oracle untuk meningkatkan tingkat ketersediaan pada Oracle Database server. Setiap transaksi disimpan pada server utama dan diduplikasi untuk standby database server. Manfaat dari teknologi ini adalah standby database secara tidak langsung menjadi server cadangan, dan standby database dapat digunakan untuk menggantikan basis data utama. Hasil dari penelitian ini adalah teknologi Oracle Data Guard dapat meningkatkan tingkat ketersediaan untuk sistem Oracle Database. Kondisi ini dapat tercapai karena standby database selalu menduplikasi data dan siap untuk menggantikan basis data primer.Kata Kunci: ketersediaan, data guard, distribusi basis data
Rancangan Model Manajemen Pengetahuan Untuk Perencanaan Pola Tanam Efektif Tanaman Pangan Berbasis Spatial Mining Sediyono, Eko; Hartomo, Kristoko Dwi; Yulianto, Sri
Jurnal Buana Informatika Vol 3, No 2 (2012): Jurnal Buana Informatika Volume 3 Nomor 2 Juli 2012
Publisher : Universitas Atma Jaya Yogyakarta

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Abstract. This paper discusses the knowledge management modeling for planning the effective planting pattern based on spatial mining.  The knowledge management is developed as a portal from traditional pranata mangsa (season reading) knowledge which is well known among Javanese and Balinese people and is plotted to the digital map. The content of the system is also combined with the recent research results about pranata mangsa, and planting patterns of the crops in many places in Java and Bali.    The application is experimented in Boyolali District. This system gives practical knowledge to farmers, in addition to developing a knowledge sharing culture among farmers and agricultural service officers in many places by using Web.Keywords: Knowledge Management, Knowledge sharing, pranata mangsa, Effective planting pattern. Abstrak. Paper ini membahas tentang rancangan model manajemen pengetahuan (knowledge management) untuk perencanaan pola tanam efektif tanaman pangan berbasis pencarian data spasial (spatial mining). Aplikasi manajemen pengetahuan yang dibangun akan menjadi portal bagi pengetahuan-pengetahuan mengenai pranata mangsa tradisional yang diketahui oleh masyarakat diberbagai daerah di Jawa dan Bali, dilengkapi dengan lokasi masing-masing pengetahun yang dipetakan dalam peta digital. Selain itu sistem yang dibangun juga menggabungkan data hasil penelitian terbaru mengenai pranata mangsa terbarukan dan data pola tanam tanaman pangan di berbagai daerah di Jawa dan Bali. Rancangan model diuji coba di daerah Kabupaten Boyolali. Selain memberikan pengetahuan yang bermanfaat secara praktis bagi petani, sistem ini dapat menumbuhkan budaya penyebaran pengetahuan (Knowledge Sharing) diantara para petani dan petugas dinas pertanian di berbagai daerah melalui Web.Kata kunci: manajemen pengetahuan, knowledge sharing, pranata mangsa,  pola tanam efektif.
MAPPING LAND SUITABILITY FOR SUGAR CANE PRODUCTION USING K-MEANS ALGORITHM WITH LEAFLETS LIBRARY TO SUPPORT FOOD SOVEREIGNTY IN CENTRAL JAVA Seta, Pramudhita Tunjung; Hartomo, Kristoko Dwi
Khazanah Informatika Vol. 6 No. 1 April 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v6i1.9027

Abstract

Indonesia is the largest sugar importer country in the world, this is contrary to the government's desire to realize sugar self-sufficiency. To overcome the dependence on sugar imports in order to support national food sovereignty, geographic information system technology (GIS) can be used to present information as material for consideration by the government in determining policies on the management of sugar cane land resources. The K-means algorithm is used to group regions according to production level, while the Matching method is for evaluating the suitability of sugarcane land. Presentation of data in the form of map visualization on the web using a new model in processing land data, where this model processes production grouping data, and land suitability class data in the form of GeoJSON then mapped with the help of Leaflets. This new model enables dynamic land data processing and visualization in the form of interactive maps. The results of the EUCS test for GIS mapping of Land Suitability and Cane Production are 3.23 (Satisfied) of the total score of 4, so this system can be accepted by the user.
MAPPING LAND SUITABILITY FOR SUGAR CANE PRODUCTION USING K-MEANS ALGORITHM WITH LEAFLETS LIBRARY TO SUPPORT FOOD SOVEREIGNTY IN CENTRAL JAVA Seta, Pramudhita Tunjung; Hartomo, Kristoko Dwi
Khazanah Informatika Vol. 6 No. 1 April 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v6i1.9027

Abstract

Indonesia is the largest sugar importer country in the world, this is contrary to the government's desire to realize sugar self-sufficiency. To overcome the dependence on sugar imports in order to support national food sovereignty, geographic information system technology (GIS) can be used to present information as material for consideration by the government in determining policies on the management of sugar cane land resources. The K-means algorithm is used to group regions according to production level, while the Matching method is for evaluating the suitability of sugarcane land. Presentation of data in the form of map visualization on the web using a new model in processing land data, where this model processes production grouping data, and land suitability class data in the form of GeoJSON then mapped with the help of Leaflets. This new model enables dynamic land data processing and visualization in the form of interactive maps. The results of the EUCS test for GIS mapping of Land Suitability and Cane Production are 3.23 (Satisfied) of the total score of 4, so this system can be accepted by the user.
Implementasi Haversine Formula untuk Pembuatan SIG Jarak Terdekat ke RS Rujukan COVID-19 Chandra Husada; Kristoko Dwi Hartomo; Hanna Prillysca Chernovita
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (819.027 KB) | DOI: 10.29207/resti.v4i5.2255

Abstract

Haversine formula-based GIS has been created to find closest location to referral hospital handling COVID-19 in Semarang City. The objectives of this study were (1) to determine closest distance and compare the results with the calculation of Find Nearest Tool and Google Maps and (2) to design GIS. It was done through (i) primary and secondary data creation and processing, (ii) accuracy measurement using Haversine formula. GIS is built after the calculation results are obtained. Calculation of the distance from user’s starting point to referral hospital can be generated using Haversine formula. Comparison of measurement results between Haversine formula-based GIS and Find Nearest Tool, the average differences is 13 meters, the smallest difference is 3 meters and the largest difference is 40 meters. The differences between the calculation results of Haversine formula and Google Maps, the smallest difference is 0 meters, the largest difference is 5 meters, and the average differences is 3 meters. GIS creation obtained through designing use case, activity, class diagram, and user interface. The conclusion is Haversine formula-based GIS can be used as "Geographic Information System for the Search of Referral Hospital Handling COVID-19 in Semarang City" based on the closest distance from user's location.
The Effectiveness of K I P A S Counseling to Overcome Post Traumatic Stress Disorders for Elementary School Students Nugraha, Agus Bambang; Purnomo, Andreas Wisnu Adi; Utomo, Kristoko Dwi; Ismanto, Bambang Ismanto
GUIDENA: Jurnal Ilmu Pendidikan, Psikologi, Bimbingan dan Konseling Vol 11, No 2 (2021)
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/gdn.v11i2.3949

Abstract

So many natural disasters that occur in 2021 will undoubtedly negatively impactuals, especially students at the elementary school level. One of the disorders caused by traumatic events is post-traumatic stress disorder (PTSD). Therefore, efforts to alleviate this matter become an urgency for educators. Seeing that BK is one of the fields engaged in helping student problems, then counseling services are one of the alternatives that need to be provided to students. In addition, seeing that who cannot separate counselling from cultural elements, efforts to treat psychic disorders that are culturally friendly should be considered and studied in depth. This study aims to determine the effectiveness of KIPAS counseling with joy-sharing techniques to overcome post-traumatic stress disorders (PTSD) of students affected by the eruption of Mount Merapi. This type of research is an experiment with a randomized pretest-posttest control group design. The research sample consisted of 14 individuals who were divided into the control group and the experimental group. The data analysis used was statistical analysis with the Mann-Whitney formula. Based on the results of the research that has been done, it is found that the sig value. 2 tailed 0.141> 0.05, which means that there is no significant effect the KIPAS counseling treatment with the excellent news sharing technique to overcome PTSD of elementary school students affected by the eruption of Mount Merapi. Bencana alam yang begitu banyak terjadi pada tahun 2021 tentunya menimbulkan dampak negatif bagi individu, terlebih lagi siswa yang duduk di jenjang sekolah dasar. Salah satu gangguan yang diakibatkan oleh peristiwa traumatis adalah post trauma stress disorders (PTSD). Oleh karena itu, upaya mengentaskan hal tersebut menjadi urgensi bagi tenaga pendidik. Melihat BK menjadi salah satu bidang yang bergerak dalam mengentaskan masalah peserta didik, maka layanan konseling menjadi salah satu alternatif yang perlu diberikan kepada siswa. Selain itu melihat konseling tidak dapat dilepaskan dari unsur budaya, maka upaya penanganan gangguan psikis yang ramah budaya menjadi hal yang patut diperhatikan dan dikaji secara mendalam. Penelitian ini bertujuan untuk mengetahui efektivitas konseling model KIPAS dengan teknik berbagi kegembiraan untuk mengatasi post traumatis stres  disorders (PTSD) siswa yang terdampak erupsi gunung Merapi. Jenis penelitian yang digunakan adalah eksperimen dengan desain randomized pretest-posttest control group. Sampel penelitian berjumlah 14 individu yang dibagi ke dalam kelompok kontrol dan kelompok eksperimen. Analisis data yang digunakan adalah analisis statistik dengan rumus Mann Whitney. Berdasarkan hasil penelitian yang telah dilakukan didapati nilai sig. 2 tailed sebesar 0.141 > 0.05, yang artinya tidak ada pengaruh yang signifikan perlakuan konseling model KIPAS dengan teknik berbagi kabar gembira untuk mengatasi PTSD siswa sekolah dasar yang terdampak erupsi gunung Merapi.
Implementation DBSCAN algorithm to clustering satellite surface temperature data in Indonesia Kristianto, Ariel; Sediyono, Eko; Hartomo, Kristoko Dwi
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 6, No 2 (2020): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v6i2.1913

Abstract

Forest and land fires are national and international problems. The frequency of fires in one of Indonesia's provinces, Riau, is a significant problem. Knowing where to repair the burn is essential to prevent more massive fires. Fires occur because of a fire triangle, namely fuel, oxygen, and heat. The third factor can be seen through remote sensing. Using the Landsat-8 satellite, named the Enhanced Vegetation Index (EVI) variable, Normalized Burn Area (NBR), Normal Difference Humidity Index (NDMI), Normal Difference Difference Vegetation Index (NDVI), Soil Adapted Vegetation Index (SAVI), and Soil Surface Temperature (LST). DBSCAN, as a grouping algorithm that can group the data into several groups based on data density. This is used because of the density of existing fire data, according to the character of this algorithm. The selected cluster is the best cluster that uses Silhouette Coefficients, eps, and minutes value extracted from each variable, so there is no noise in the resulting cluster. The result is more than 0, and the highest is the best cluster result. There are 5 clusters formed by clustering, each of which has its members. This cluster is formed enough to represent the real conditions, cluster which has a high LST value or has an NBR value. A high  LST value indicates an increase in the area's temperature; a high NBR value indicates a fire has occurred in the area. The combination of LST and NBR values indicates the area has experienced forest and land fires. This study shows that DBSCAN clustered fire and surface temperature data following data from the Central Statistics Agency of Riau Province. Proven DBSCAN can cluster satellite imagery data in Riau province into several clusters that have a high incidence of land fires.
Analisis Penerapan Metode Scrum Pada Pengembangan Sistem Informasi Akuntansi Koperasi Rizaldi, Alexander; Maria, Evi; Wahyono, Teguh; Purwanto, Purwanto; Hartomo, Kristoko Dwi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3349

Abstract

Koperasi are one of the drivers of the economy in Indonesia. But in the operations of the koperasi, there are many problems such as lack of information, unrecorded deposits, the amount of credit that exceeds capacity, and lack of accuracy in accounting calculations. The study used the object of the employee koperasi of SWCU (Satya Wacana Christian University) Salatiga by conducting an observation process on the ongoing koperasi business system. The design of a koperasi accounting information system using a web platform with the basic model of the Scrum Process. The Scrum process model is a software development management framework with iterative and incremental characteristics and properties. The koperasi accounting information system that is built based on Scrum can reduce previous processing errors and can increase the speed and accuracy of data processing so that in the short term it can improve koperasi performance. System performance is tested by black box testing method to ensure all features can work properly. The test results showed that the system built can help reducing problems occurred in the operational process of koperasi, particularly in the accounting process. The results show that the system is more efficient to reduce problems occurred in the operational process of koperasi, reduce time in transaction processing, increase accuracy in the accounting process, and make it easier for users to produce reports with high validity.
Pengujian Sistem Informasi Pelayanan Desa Terhadap Kepuasan Pengguna Menggunakan Metode Webqual 4.0 Prasianto, Kornelius Reinand; Hartomo, Kristoko Dwi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3286

Abstract

Sirembukwarga.salatiga.go.id is a website for submitting a development budget in the village and obtaining direct approval from BAPPEDA (Regional Development Planning Agency) Salatiga city. The purpose of this study was to test the village service information system on user satisfaction. Therefore, it is necessary to test the quality of the sirembukwarga.salatiga.go.id website to find out the problems experienced by users to achieve user satisfaction. Based on the existing problems, namely the appearance of the website is unresponsive, has an unattractive appearance, is less efficient, difficult to use considering that users do not understand the use of technology, so that it is difficult to convey information for users, a Village Service Information System Test is needed using the WEBQUAL 4.0 method. The initial stage of this research by testing the website, collecting data using a questionnaire to the users. The selection of respondents using the Multi Stage Random Sampling method due to data collection for several villages in the city of Salatiga. The results of data collection using a questionnaire to determine the quality of the website. The data of this study obtained a sample of 40 respondents and processed using SPSS version 25. The results of the Usability Quality and Information Quality tests do not have good quality because user satisfaction has not been met. On the other hand, Interaction Quality has good quality. This test is conducted to find out how satisfied the users are in using the services provided by the government. The results of this study indicate that the three variables tested have an influence and impact of 68.9% and are influenced by factors outside the webqual dimension of 31.1%.
Satellite imagery and machine learning for aridity disaster classification using vegetation indices Sri Yulianto Joko Prasetyo; Kristoko Dwi Hartomo; Mila Chrismawati Paseleng; Dian Widiyanto Chandra; Edi Winarko
Bulletin of Electrical Engineering and Informatics Vol 9, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1593.071 KB) | DOI: 10.11591/eei.v9i3.1916

Abstract

Central Java Province is one of provinces in Indonesia that has a high aridity risk index. Aridity disaster risk monitoring and detection can be done more accurately in larger areas and with lower costs if the vegetation index is extracted from the remote sensing imagery. This study aims to provide accurate aridity risk index information using spectral vegetation index data obtained from LANDSAT 8 OLI satellite. The classification of drought risk areas was carried out using k-nn with the Spatial Autocorrelation method. The spectral vegetation indices used in the study are NDVI, SAVI, VHI, TCI and VCI. The results show a positive correlation and trend between the spectral vegetation index influenced by seasonal dynamics and the characteristics of the High R.A. and Middle R.A. drought risk areas. The highest correlation coefficient is SAVI with a High R.A. amounted to 0.967 and Middle R.A. amounted to 0.951. The results of the Kappa accuracy test comparison show that SVM and k-nn have the same accuracy of 88.30. The result of spatial prediction using the IDW method shows that spectral vegetation index data that initially as an outlier, using the k-nn method, the spectral vegetation index data can be identified as data in the aridity classification. The spatial connectivity test among sub-districts that experience drought was done using Moran’s I Analysis.
Co-Authors Ade Iriani Agus Bambang Nugraha Ahmad Ashifuddin Aqham Andeka Rocky Tanaamah Andreas Arga Rinjani Saputro Angelia Destriana Anggara Cahya Putra April Firman Daru Ariel Kristianto Aryanata Andipradana Brilliananta Radix Dewana Chandra Husada Danny Sebastian Dearmelliani Tarigan Desyandri Desyandri Dian Widiyanto Chandra Diky Candra Muria Pratama Dwi Anggono Winarso Suparjo Putra Dwi Hosanna Bangkalang Eko Sediyono Enik Muryanti Estie Grace Melisa Sinulingga Evi Maria Ezra Julang Prasetyo Gabriel Kenisa Meqfaden Baali Gerry Santos Lasatira Gladiola Lavinia Ambayu Gogo Krisatyo Hanna Prillysca Chernovita Hendri Suryo Prakoso Hindriyanto Dwi Purnomo Irwan Sembiring Ismanto, Bambang Ismanto Joanito Agili Lopo Joshua Rondonuwu Josua Josen Alexander Limbong Kevin Benedictus Simarmata Kevin Hendra William Kevin Stevian Hermawan Kezia Sharent Kodoati Kuncoro, Wreda Agung Martin Teddy Sihite Matheus Supriyanto Rumetna Mila Chrismawati Paseleng Mozad Timothy Waluyan Muhammad Rizky Ramadhan Muhammad Sholikhan Murry Albert Agustin Lobo Myra Andriana Neilin Nikhlis Nina Setiyawati Nining Fitriani Nurrokhman Nurrokhman Nuzhah Al Waaidhoh Penidas Fodinggo Tanaem Pramudhita Tunjung Seta Prasianto, Kornelius Reinand Purnomo, Andreas Wisnu Adi Purwanto Purwanto Raditya Ditto Aryaputra Radius Tanone Rahmat Abadi Suharjo Raymond Elias Mauboy Rizaldi, Alexander Sandy Pratama Septian Silvianugroho Sri Yulianto Sri Yulianto Joko Prasetyo Sri Yulianto Prasetyo Stevan Hamonangan Hardi Suhandi, Nicolas Evander T. Arie Setiawan P Teguh Wahyono Triloka Mahesti Winarko, Edi Wiwien Hadikurniawati Yansen Bagas Christianto Yedija Sada Ukurta Sinulingga Yohan Maurits Indey