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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu dan Teknologi Kelautan Tropis IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Informatika JURNAL SISTEM INFORMASI BISNIS Proceedings of KNASTIK Jurnal Simetris Elkom: Jurnal Elektronika dan Komputer Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Proceeding SENDI_U Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Faktor Exacta INOVTEK Polbeng - Seri Informatika MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) Magisma: Jurnal Ilmiah Ekonomi dan Bisnis JUKANTI (Jurnal Pendidikan Teknologi Informasi) JATI (Jurnal Mahasiswa Teknik Informatika) Journal Sensi: Strategic of Education in Information System Abdimasku : Jurnal Pengabdian Masyarakat INFOKUM Aiti: Jurnal Teknologi Informasi Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknik Informatika (JUTIF) Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Jurnal Dimensi DKV Seni Rupa dan Desain Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Eduvest - Journal of Universal Studies CENDEKIA PENDIDIKAN Jurnal Rekayasa elektrika Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pendidikan Teknologi Informasi (JUKANTI) INTERNAL (Information System Journal) Pendekar: Jurnal Pendidikan Berkarakter Blockchain Frontier Technology (BFRONT) Scientific Journal of Informatics BACA: Jurnal Dokumentasi dan Informasi International Journal of Information Technology and Business JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Danny Manongga
Universitas Kristen Satya Wacana
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Neuroscience Social Sciences Transportation Other

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Analysis of Communication Network Patterns of Home Industries (A Case Study in Tambaksari, Rowosari, Kendal) Maulan, Puteri Anidya; Manongga, Danny; Sembiring, Irwan
Khazanah Informatika Vol. 6 No. 2 October 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v6i2.10468

Abstract

Tambaksari is a village in Kendal Regency that has home industries (Industri Rumahan, IR). The local government classifies these industrial activities of BUMDes (Village-Owned Enterprises) into three groups, namely IR-1, IR-2, and IR-3. Each group or class has its specific criteria. The significant local potentials in Tambaksari include fish farming and processing. The advantage of the local potential in Tambaksari is inseparable from the synergy between the local government and the people of Tambaksari. This study observed the patterns of actor interactions in 64 IRs in Tambak Sari. Data were collected from questionnaires and analyzed using the Social Network Analysis (SNA) method. The results showed that Tambaksari IRs have a network density of 5.5%, which suggests that the relationship was weak. Network analysis using UCINET illustrates the separation of the IR group, which further reinforces the existence of competition in the network. The study reveals the dominant actor in the network interaction based on the measure of degree centrality, closeness centrality, and betweenness centrality. He is the actor with id # 29 who is the Chairman of IR-2, 54 years old, who has a Pindang Fish Processing.
Pengaruh Motivasi Kerja, Lingkungan Kerja dan Kompetensi terhadap KinerjaKaryawan pada Bank Jateng Cabang Pembantu Wilayah Pemalang Henry Adhi Sulistyo; Danny Manongga
Magisma: Jurnal Ilmiah Ekonomi dan Bisnis Vol 8 No 2 (2020): MAGISMA
Publisher : Magister Manajemen STIE Bank BPD Jateng

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35829/magisma.v8i2.137

Abstract

The purpose of this study is to find out and analyze the relationship between work motivation and employee work performance, analyze the influence of the work environment on employeeperformance, and analyze the effect of competence on employee performance. The sample used inthis study were all employees of the Central Java Regional Government Branch Office in Pemalang,totaling 30 employees. The conclusion shows that work motivation has a positive and significanteffect on employee performance, the work environment has a positive and significant effect onemployee performance, and competence has a positive and significant effect on employeeperformance.
Mangrove-based Ecotourism Sustainability Analysis using NDVI and AHP Approach Yerik Afrianto Singgalen; Danny Manongga
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 16, No 2 (2022): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.68986

Abstract

 This article aims to analyze the sustainability of mangrove ecotourism using the Normalized Difference Vegetation Index (NDVI) and Analytical Hierarchy Process (AHP) approaches. Based on Landsat 8 OLI satellite imagery calculation using the NDVI technique, there has been a decrease in vegetation value on Dodola Island in 2017. This condition needs to be analyzed scientifically, considering the Dodola Island mangrove area to be preserved. In addition to the interests of tourism infrastructure development. The research method used is a mixed research method through a case study approach in Dodola Island, Morotai Island Regency, North Maluku Province, Indonesia. This study adopts remote sensing techniques and decision support systems to describe the results of sustainable mangrove ecotourism analysis. This study indicates that the calculation results of Landsat 8 OLI spatial data from 2013-to 2021 show a significant decrease in vegetation value in 2017, where the maximum NDVI value is 0.30, and the minimum NDVI value is 0.11. Specifically, the mangrove area also experienced a decrease in vegetation value with a maximum NDVI value is 0.23 and a minimum NDVI value is 0.02. To anticipate environmental damage in mangrove areas, this study recommends mangrove conservation programs, namely rehabilitation, restoration, reclamation, and conservation of mangrove areas. In addition, the results of the priority analysis using the AHP approach show that the rehabilitation program is a program that needs to be prioritized because it follows the existing conditions and capabilities of the Dodola Island managers.
Market Basket Analysis Menggunakan Association Rule dan Algoritma Apriori Pada Produk Penjualan Mitra Swalayan Salatiga Elfira Umar; Danny Manongga; Ade Iriani
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4217

Abstract

Market Basket analysis is learning to manage associations in data processing in various fields. The main purpose of Market Basket analysis in the field of sales is to convey an important message to the company so that it can find out the behavior patterns of entering goods into the shopping basket by consumers so that partners can make a decision. In this study, the Apriori Algorithm is used to take into account changes that occur in the data. This study discusses data mining techniques in analyzing what items are most often purchased at the same time by consumers so that they can change the placement of items that are close together to increase the impulse buying effect. The results obtained are 5 rules where one of the rules obtains the highest confidence value when buying cigarettes, the dominant item is taken simultaneously, namely eggs by obtaining a confidence value that can meet the highest confidence requirements, namely 67%.
Analisa Interaksi Pegawai Pada CV. Diamond Printing Menggunakan Social Network Analysis (SNA) Budi Santoso; Danny Manongga; Irwan Sembiring
Elkom : Jurnal Elektronika dan Komputer Vol 14 No 1 (2021): Juli: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v14i1.446

Abstract

Diamond Printing is one of the largest offset printing companies with 32 years of experience and is located in the city of Surabaya, East Java. Data from HRD managers explained that there was no report from observations related to employee work effectiveness in terms of coordination and synergy between employees as seen from the communication and collaboration relationships. The absence of data related to the effectiveness of the performance of CV employees. Diamond Printing in terms of communication network mapping is one of the obstacles faced by HRD in determining KPI (key performance indicator). By using the Social Network Analysis (SNA) method with the help of UCINET 6 software, it is hoped that some employees will have advantages, especially in collaboration and communication in group network structures. There are three parameters used in SNA, including: degree centrality, closeness centrality, and betweenness centrality. This study involved 104 respondents (the entire population) with a sampling technique using snowball sampling and a questionnaire as a means of collecting data. The results of this study indicate that most of the collaboration and communication network interactions are dominated by manager level employees and department heads. Based on these findings, an innovation is needed from all stakeholders from CV. Diamond Printing in developing effective communication methods between its members.
PENGGUNAAN SOFT SYSTEM METHODOLOGY DALAM MENGEVALUASI PERMASALAHAN PEMBELAJARAN KOMPOSISI PADA MAHASISWA FOTOGRAFI FTI-UKSW SALATIGA Martza Merry Swastikasari; Danny Manongga,; Ade Iriani
Jurnal Dimensi DKV Seni Rupa dan Desain Vol. 5 No. 1 (2020): Jurnal Dimensi DKV Seni Rupa dan Desain
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1083.224 KB) | DOI: 10.25105/jdd.v5i1.6886

Abstract

AbstractUsing Soft System Methodology in Evaluating Composition Problem of Photography Students in FTI-UKSW Salatiga. Learning the composition of photography at the Faculty of Information Technology (FIT) - Satya Wacana Christian University (SWCU) is a main subject and must be known by all photography students. In addition to being the basis for the material and other advanced photography courses, composition learning aims to evoke aesthetic value of students in each photo taking, if aesthetic values do not exist, then the resulting photo works have no essential value. Mastery of the composition of photography has different levels of difficulty by each individual. This is due to many factors. Unstructured problems are found both internally and externally. This research using the soft system methodology (SSM) in understanding and solving problems. As a final result, there are conceptual models and work plans for changes that can be used as input in dealing with problem situations. AbstrakPenggunaan Soft System Methodology Dalam Mengevaluasi Permasalahan Pembelajaran Komposisi pada Mahasiswa Fotografi FTI-UKSW Salatiga. Mempelajari komposisi fotografi di Fakultas Teknologi Informasi (FTI) - Universitas Kristen Satya Wacana (UKSW) adalah hal yang mendasar dan wajib diketahui oleh semua mahasiswa fotografi tanpa terkecuali. Selain menjadi dasar untuk setiap materi dan mata kuliah fotografi lanjutan lainnya, pembelajaran komposisi bertujuan untuk membangkitkan nilai estetika mahasiswa dalam setiap pengambilan karya foto. Jika nilai-nilai estetika tidak ada, maka karya foto yang dihasilkan tidak memiliki kualitas yang baik. Penguasaan komposisi fotografi memiliki tingkat kesulitan yang berbeda oleh masing-masing individu. Hal ini disebabkan banyak faktor. Masalah tidak terstruktur ditemukan baik secara internal maupun eksternal. Penelitian ini menggunakan soft system methodology (SSM) dalam memahami dan memecahkan masalah. Sebagai hasil akhir, terdapat model konseptual dan rencana kerja untuk perubahan yang dapat digunakan sebagai masukan dalam menghadapi situasi masalah.
LINER REGRESSION ANALYSIS IN FORECASTING HYDROPONIC PLANT NUTRIENT NEEDS Agni Isador Harsapranata; Danny Manongga; Sutarto Wijono
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The need for nutrients to support plant growth is very important, coupled with hydroponic technology, the use of nutrients is the main requirement in supporting good plant growth. Therefore, in this study the authors forecast the nutritional needs to support plant growth from time to time. The analysis used by the author is using linear regression analysis. So by using linear regression analysis, it can be known the nutritional needs in hydroponic plant growth. In determining the provision of nutrients, it is influenced by the pH of the nutrients, the height of the nutrient liquid in the reservoir, and the dissolved nutrient particles in the reservoir. Calculations are made every 4 days, within 56 days, with the type of hydroponic plant is paprika. Forecasting of nutrition is used in an Internet of Things ecosystem, so that nutrition can run automatically based on Linear Regression calculations. Forecasting in this study uses linear regression with the RMSE (Root mean square error) result of 51.47887, from these results it can be categorized as forecasting that is close to the real value
ALGORITHM COMPARISON AND FEATURE SELECTION FOR CLASSIFICATION OF BROILER CHICKEN HARVEST Christian Cahyaningtyas; Danny Manongga; Irwan Sembiring
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 6 (2022): JUTIF Volume 3, Number 6, December 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.6.493

Abstract

Broiler chickens are the result of superior breeds that produce a lot of meat. In practice, however, many breeders experience crop failure, which has a serious impact on the economy and can also affect farmer quality, resulting in sanctions. The value of the performance index produced at harvest indicates the success rate of harvesting broiler chickens. Broiler crop yield data can be used to help classify broiler crop yield data using an approach method. The CRISP-DM (Cross Industry Standard Process for Data Mining) method was used in this study's data mining technique. This study compares 3 classification algorithms to determine the best algorithm and 3 feature selection methods to determine the best method for improving algorithm performance. According to the findings of this study, the Random Forest algorithm is the best algorithm for classifying harvest data, with an accuracy rate of 89.14 percent. The best way to improve the algorithm's performance is to use the Backward Elimination method, which can increase the accuracy by 7.53 percent. As a result, the Random Forest + Backward Elimination algorithm yields an accuracy value of 96.67 percent. According to this study, the factors that influence crop yield increase are FCR, number of harvests, and body weight.
Analisis Terhadap Tagar #LGBT di Twitter Menggunakan Analisis Jaringan Sosial (SNA) Erwianta Gustial Radjah; Ade Iriani; Daniel H.F. Manongga
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.5476

Abstract

Twitter is utilized to express opinions and respond to social phenomena in real life. Responses to events through Twitter conversations are relatively fast and create popular topics. Popular topics using hashtags are often used to attract, invite and influence other users to respond as well. In May 2022, the hashtag "#LGBT" was widely discussed, which was due to the invitation of a gay couple to attend a podcast by Youtuber Deddy Corbuzier. This resulted in a decrease in Deddy Corbuzier's subscribers and the blocking of one of the TikTok accounts of a gay couple. This study aims to analyze opinions on social media that influence the decisions of other social media users. Negative impacts on content creators and affects the real-life community of religious Indonesians. An analysis of network structure, group, and actors involved was conducted using Social Network Analysis to detect and study the opinions that occurred. Network structure mapping of Density, Diameter, and Reciprocity. Group detection using Modularity and Centrality to identify influential actors. Crawling Dataset of 10,000 tweets with 7,761 nodes (actors) and 8,371 edges. The results of the network structure research showed the farthest distance to reach other accounts is 18 (Diameter), the low-Density value is 0.000164 and the low Reciprocity value between accounts is 0.049480. The results of the research show that the value of the group formed is relatively high, 0.868000. Centrality identification shows @brn as the account with the most connections of 287 and @sop as the account with the highest intermediary among other accounts at 0.000303, and @aiy as the account with the closest distance to other nodes at 1.0. Based on the quality of the node to other nodes, @brn is the highest at 1.0
Covid-19 Sentiment Analysis Using Convolutional Neural Network / Reccurent Neural Network Method Ravensca Matatula; Danny Manongga; Hendry Hendry
Eduvest - Journal of Universal Studies Vol. 2 No. 8 (2022): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1819.418 KB) | DOI: 10.59188/eduvest.v2i8.514

Abstract

Social media is a very important tool in this modern era , one of which is namely twitter. Twitter allows user for give opinion / opinion to various issues and topics hot / viral trending . Trending on twitter is so so fast in the process of spreading so that Twitter becomes a medium of information that often become a media issue conspiracy . Covid-19 is a moderate epidemic / disease _ experienced the whole world when this . Issues circulating in the population , they believe that Covid-19 is a real pandemic and a conspiracy , issue this make population confused differentiate Among second issue that . Because of that required a fast and accurate analysis _ for produce valid results , that Covid-19 a real thing _ or conspiracy seen from opinion population and corner views written on Twitter. CNN/RNN or combined from RNN(LSTM) and CNN methods are method used _ for classify opinion population about Covid-19 issues . Study this also done with compare is correct RNN/CNN accuracy same like deep RNN even more fast for in the process . Research results state that accuracy from combined RNN/CNN no different remote , even RNN/CNN in the process more fast than deep RNNs. Research results about opinion / opinion residents on twitter who believe about Covid-19 is conspiracy more low than residents who have confidence about Covid-19 is something the real thing . Percentage classification opinion / opinion from sentiment positive by 63.15% and opinion / opinion sentiment negative by 28.60%, this is results calculation use RNN/CNN method , with accuracy reached 58%. Accuracy from method used _ make Covid-19 issues that exist in the population no Becomes hoax news so population more alert against the ongoing Covid-19 pandemic happen.
Co-Authors Abas Sunarya, Po Abdi Samuel Mango Ade Iriani Agni Isador Harsapranata Agung Wibowo Albert Kriestian Novi Adhi Nugraha Andianti, Yohana Antonius Mbay Ndapamuri Anumi, Maria Grassella April Lia Hananto Apriliasari, Dwi Arny Lattu Astriyer J. Nahumury Ayu Sanjaya, Yulia Putri Baihaqi, Kiki Ahmad Bani, Benediktus Budhi Kristianto Budi Santoso Cahyaningtyas, Christian Daniawan, Benny Dendy Kurniawan Destiyani, Gati Devianto, Yudo Dwi Hosanna Bangkalang Efendy, Rifan Eko Nur Hermansyah Eko Sediyono Elfira Umar Elmanda, Vonda Erwianta Gustial Radjah Evangs Mailoa Evi Maria Faturahman, Adam Fauzi Ahmad Muda Filimdity, Elsa K. Frederik Samuel Papilaya Girinzio, Iqbal Desam Gunawan Gunawan Henderi Hendry Hendry, - Henry Adhi Sulistyo Herdin Yohnes Madawara Hindriyanto Dwi Purnomo Huda, Baenil I Ketut Suada Irwan Sembiring Iwan Setiawan Iwan Setyawan Johan Jimmy Carter Tambotoh Joko Siswanto Julianingsih, Dwi Julians, Adhe Ronny Krismiyati Kristoko Dwi Hartomo Lorna Yertas Baisa Lukman Santoso Madawara, Herdin Yohnes Mango, Abdi Samuel Mangoki, Willson Martza Merry Swastikasari Muhamad Yusup Muhammad Ryza Awwali , Sulartopo, Muhammad Ryza Awwali , Nina Setiyawati Panja, Eben Penidas Fiodinggo Tanaem Penidas Fodinggo Tanaem Perdana, Eric Megah Po Abas Sunarya Priatna , Wowon Pudjajana, Andre Maureen Pukada, Michael Alan Hirdi Purnomo, Hendryanto Dwi Qurotul Aini Radius Tanone Rahardja.,M.T.I.,MM, Dr. Ir. Untung Ravensca Matatula Ravensca Matatula Reni Veliyanti Rimes Jopmorestho Malioy Rivort Pormes Rivort Pormes Rivort Pormes, Rivort Ronny Julians, Adhe Saian, Septovan Dwi Suputra Santoso, Joseph Teguh Santoso, Nuke Puji Lestari Selfiana Pandie Sophia Tri Satyawati Sri Yulianto Joko Prasetyo Stefanus Christian Relmasira Suharyadi Sulistyo, Henry Adhi Sutarto Sutarto Sutarto Wijono Swastikasari, Martza Merry Theopillus J. H. Wellem Tri Wahyuningsih Tukino Tukino, Tukino Untung Rahardja Victor Peter Lodewyk Duan Winny purbaratri Wiwien Hadikurniawati Yari Dwikurnaningsih Yerik Afrianto Singgalen Yessica Nataliani