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All Journal Jurnal Informatika Jurnal Simetris Jurnal Informatika JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal technoscientia Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Indonesian Journal of Computing and Modeling Jurnal Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Progresif: Jurnal Ilmiah Komputer Journal of Information Systems and Informatics Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Tekinkom (Teknik Informasi dan Komputer) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Teknik Informatika (JUTIF) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Papua IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Eduvest - Journal of Universal Studies Warta LPM Jurnal Sistem Informasi Jurnal Pendidikan Teknologi Informasi (JUKANTI) Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)

Adi Nugroho

Universitas Kristen Satya Wacana

Author-ID : 2843679

Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Social Sciences Other

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Pemetaan Hasil Panen Padi di Jawa Tengah menggunakan Metode Poligon Thiessen Erni Erni; Adi Nugroho
Journal of Information System Research (JOSH) Vol 3 No 4 (2022): Juli 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Rice is the staple food of Indonesian people. Processed rice comes from the rice plant. Along with the increasing population in Central Java, the need for rice is increasing from year to year. Data mapping is needed to overcome the reduction in the quantity of rice yields. Rice yields in Central Java have increased and decreased which are influenced by rainfall each year, namely in 2019-2020. The planting area that produces the most harvest is Grobogan, while the least production is Surakarta. Due to the very high rainfall that affects crop yields in Surakarta, rice plants experience flooding and damage rice yields.

PREDICTION OF THE ENGLISH PREMIER LEAGUE CHAMPION TEAM FOR THE 2021/2022 SEASON USING THE NAÏVE BAYES METHOD Alesandro Sulthan Yudistira; Adi Nugroho
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.328

The English Premier League is the top division league in England, the most popular football league for football fans. The competition date for the 2021/2022 season was announced on March 25, 2021 and the schedule was released on June 16, 2021. Manchester City won last season (2020/2021). The purpose of this study is to find out the results of Naive Bayes' accuracy in determining which team deserves to win in the English Premier League 2021/2022 season and which team does not deserve to win in the final standings. The method used for prediction is Naïve Bayes, which is to predict an opportunity in the future based on events in the past which is then called the Bayes theorem. Combined with Naïve's theorem, it can be said that a condition between attributes can be independent. Naïve Bayes is an arrangement of a system that calculates a collection of opportunities that are summed at a frequency and a combination of values from the existing data set. Based on the research conducted, it was generated from predictions to determine the winning team quickly and accurately and from the test results it was necessary to process training data and test data with the Naïve Bayes method, it was obtained an accuracy of 32.7% for the chances of Manchester City winning and Liverpool with 42.06% accuracy to be able to win the English Premier League season 2021/2022.

DECISION SUPPORT SYSTEM FEASIBILITY ACCEPTING HOME SURGICAL ASSISTANCE WITH WEIGHT PRODUCT METHOD IN NGABLAK VILLAGE Arya Eka Saputra; Adi Nugroho
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.338

In rural areas, it is very often found that fragile and uninhabitable houses are due to poverty and do not receive housing assistance from the local government. As in Ngablak village, Magelang, there are many people's residences that need to be repaired. The Ngablak village government has created a Home Renovation Assistance program which is one way to protect and prosper residents. To solve the problem in determining the feasibility of receiving home surgery assistance, a Decision Support System was designed using the Weight Product method. The Weight Product method applies a multiplication technique to link the attribute rating and performs the rank first with the weight of the attribute in question. The weighted value for each criterion is used to generate a ranking value in order to make a decision on the candidate for home surgery assistance. Based on calculations using the Weight Product method, the results are in the form of citizen data that has been calculated with the output from the highest to the lowest value. The conclusion of this study is that the existence of a decision support system is very helpful for the Ngablak village government in selecting residents who really deserve assistance in a fast and appropriate way.

FORECASTING PENJUALAN OBAT MENGGUNAKAN METODE SINGLE, DOUBLE, DAN TRIPLE EXPONENTIAL SMOOTHING ( STUDI KASUS : APOTEK MANDIRI MEDIKA) Jassen Vimala; Adi Nugroho
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 1 No 2 (2022): IT-Explore Juni 2022
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Abstrak – Obat merupakan bahan biologis yang sangat penting digunakan untuk penyembuhan dan peningkatan kesehatan untuk manusia. Kebutuhan obat akan semakin terus meningkat seiring dengan menuanya penuduk, sehingga diperlukan peramalan penjualan ketersediaan obat. Peramalan merupakan proses menyusun informasi untuk mendapatkan informasi yang baru. Peramalan memiliki banyak metode, pada penelitian ini menggunakan Metode Single, Double, dan Triple Exponential Smoothing dengan menggunakan studi kasus obat. Ketiga algoritma ini akan dilakukan perbandingan untuk mengetahui metode mana yang terbaik dalam peramalan. Hasil penelitian ini menunjukan metode Triple Exponential Smoothing merupakan metode yang terbaik degan nilai SSE 3306.302, jika dibandingan dengan Singel Exponential Smoothing sebesar 3945.069 dan Double Exponential Smoothing sebesar 4673.829. Abstract – Medicine is a very important biological material used for healing and improving health for humans. The need for drugs will continue to increase along with the aging of the population, so it is necessary to forecast sales of drug availability. Forecasting is the process of compiling information to obtain new information. Forecasting has many methods, in this study using the Single, Double, and Triple Exponential Smoothing method using drug case studies. These three algorithms will be compared to find out which method is the best in forecasting. The results of this study indicate that the Triple Exponential Smoothing method is the best method with an SSE value of 3306,302, when compared with Single Exponential Smoothing of 3945,069 and Double Exponential Smoothing of 4673,829.

Analisis Prediksi Mahasiswa Terhadap Kelulusan Tepat Waktu Menggunakan Metode Data Mining Decision Tree (Studi Kasus: FTI UKSW) Imelda Ruwae Lutunani; Adi Nugroho
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 2 (2023): APRIL-JUNE 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i2.781

In general, students have the responsibility to complete their studies at a university. For students of the Satya Wacana Christian University Faculty of Information Technology, which every year there are more and more students, the world of work is currently required to become someone who masters the field of technology. In addition, as a student, there are many things that must be done to complete studies by participating in activities on campus, organizations, and being active in the teaching and learning process so that they can complete their studies on time. In this study, a predictive analysis of SWCU FTI students will be conducted on timely graduation using the decision tree data mining method. which will see students who graduate on time and graduate late using the decision tree algorithm which is a decision tree algorithm that has a high level of accuracy in large amounts of data. In this study, the decision tree algorithm was used to run 983 sample data, resulting in a match accuracy of 91.25%. This means that it is very good and effective in predicting student graduation

PENGAMBILAN KEPUTUSAN DENGAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) UNTUK MENENTUKAN PEMBELIAN MESIN TEMPEL Chrisandy Noel Siruru; Adi Nugroho
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 2 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i2.276

The decision-making system is crucial in business processes to assist decision-makers in making the right decisions. In this case, the determination of the purchase of an outboard motor is a critical decision that requires careful consideration. Therefore, the Simple Additive Weighting (SAW) method is used as a decision-making system in determining the purchase of an outboard motor. The SAW method is used to calculate the relative weight of each selected criterion and to give a value to each alternative based on the given criteria. The criteria used in determining the purchase of an outboard motor include price, brand, features, environmental waste guarantee, quality, and availability of service centers. From the normalized calculation results, Yamaha E40JMHL 40HP became the best outboard motor alternative with a score of 0.8125, and Honda BF 90 DK 2LRTD 0.575 became the less recommended alternative to be chosen for purchase.

ANALISIS SENTIMEN PENILAIAN MASYARAKAT INDONESIA TERHADAP KONFERENSI G20 DI BALI DENGAN MENGGUNAKAN METODE NAIVE BAYES Windy Kusumawati Suhet; Adi Nugroho
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.290

Lot of Indonesian people support the holding of the G20 conference in Bali and many people also disagree with the G20 that will held/hold in Bali for various reasons. Therefore this research is conducted to find out how much the Indonesian people agree or disagree with the holding of the G20 High-Level Conference (Summit) which was held in Bali, Indonesia. In this study used research methods of data collection, preprocessing stage, Naive Bayes classification stage, and confusion matrix evaluation stage. In this study, 2,255 data were used with 1,000 training data and 1,255 test data. After the data is processed and the sentiment predicted in the test data, the confusion matrix is calculated to calculate the accuracy of the results. On data that has been processed the accuracy obtained is 95.60%.

DCOM, CORBA, JAVA RMI: KONSEP DAN TEKNIK DASAR PEMROGRAMAN Adi Nugroho; Ahmad Ashari
Jurnal Sistem Informasi Vol. 7 No. 2 (2011): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

DCOM, CORBA, dan Java RMI adalah middleware yang memungkinkan komputasi jarak jauh atau komputasi tersebar. Meskipun telah terdapat konsep layanan web dan implementasi yang diterapkan dalam berbagai kasus saat ini, ketiga middleware di atas masih sering digunakan untuk lingkungan yang application-specific, yang membutuhkan performa lebih baik. Paper ini diharapkan akan memberikan gambaran mengenai DCOM, CORBA, dan Java RMI dari konsep hingga perbedaan yang paling mendasar terkait teknik pemrograman. DCOM, CORBA, and Java RMI are middleware that enable remote computing (distributed computing). Although we have Web Service concept and implementation that applied in many cases right now, all three still often used for applications-specific nature, which need the better performance. This paper is intended to give an overview of DCOM, CORBA, and Java RMI, from concept to most fundamental differences related to programming techniques.

ANALISIS KESEHATAN MENTAL MAHASISWA UNIVERSITAS KRISTEN SATYA WACANA MENGGUNAKAN METODE CLUSTERING ALGORITMA K-MEANS Timothy Garry Van Solang; Adi Nugroho
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.641

Mental health and machine learning technology that are trending among students provide a presentation that mental health awareness and technology use will have an impact in the future. This research aims to provide awareness of Satya Wacana Christian University data about mental health that can be identified using machine learning technology. The use of K-Means Clustering in clustering has been done in various types of research. Mental health scale that can recognize the state felt by Satya Wacana Christian University students based on answers to questions. The answers are in the form of a numeric scale, so the data is used in Orange3 for clustering using the K-Means algorithm. Analysis on the scale data of UKSW students who have 32 data has a silhouette k = 3 in cluster 1 of the depressed category has the results of 11 students seen in the 2018 batch and above in the depressed category and 1 data of 2020 batch students. In cluster 2 has 12 data which has the results of the 2018, 2019 and 2020 generations in the prosperous category. Cluster 3 of the harmonious category has data on 9 students whose classes are various in 2017, 2018 and 2019. The results in each cluster provide an overview of the effect of batch on mental health where many of the early year batches are in the prosperous category then the depressed category with the 3rd year batch and there are students who are able to balance their mental health with harmonious categories scattered in each batch.

Pencarian Rute Terpendek menggunakan Algoritma Genetika (Studi Kasus : Pengoptimalan Mobilitas Kota Salatiga Terhadap Kota-Kota Tetangga) Agustho Isai; Adi Nugroho
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 1 (2024): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i1.538

The increase in population in an area has a significant impact on vehicle density in that area. The problem that often arises is traffic jams that occur on several routes at once. This factor is a common problem, which is quite disturbing to the public and road users. To overcome this problem, the genetic algorithm method is used as a solution method. This case study was set at the regional or city level around Salatiga City, including Ambarawa City, Semarang City, Boyolali City, Solo City and Magelang City. By using the genetic algorithm method, the fastest route with the shortest distance can be found. The Genetic Algorithm used in this research allows optimal shortest route search results. Apart from that, this research can also minimize the distance and travel time of several alternative routes obtained, thus providing significant benefits in developing the transportation system in the region.

Co-Authors Agustho Isai Ahmad Ashari Ahmad Ashari Alesandro Sulthan Yudistira Alessandro Christoforus Baramuli Andreas A. Sukmana Andree Wijaya Setiawan Angela Atik Setiyanti Arifin, Andrean Jonathan Ariya Dwika Cahyono Arya Eka Saputra Betty E. Kristiani Bistok Hasiholan Simanjuntak Bramastya Arya Gandhi Rusmantara Budhi Kristianto Chaidar Wicaksono Chris Stevanus Lekpey Chrisandy Noel Siruru Daniel Setyo Cahyo Utomo Demira Intan Suranda Edi Winarko Epenetus Calvin Erni Erni Erwien Christianto Evangs Mailoa Galih Bintang Pradana Gracia Radiena Hanita Yulia Herdianto Bilma Bunga Hindriyanto Dwi Purnomo Imelda Ruwae Lutunani Jassen Vimala Johan Jimmy Carter Tambotoh Khabib Mustofa Krismiyati Lasmono Trisunaryanto Maria Maria Netiva Hidayah Paga, Efraim Paulina Kota Pradipta Angga Saputra Radius Tanone Rivo Masinambow Robertos Hartanto Wijaya Sebah, Hermon Julkifly Sri Hartati Sri Hartati Sri Kasmiyati Stefan Agustinus Teguh I. Bayu Timothy Garry Van Solang Windy Kusumawati Suhet Wines Kurnia Sendy Yoga Aji Handoko Yohanes Hendro Agus

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